30:Tab0,{ const color = d3 .scaleSequential(d3.interpolateViridis) .domain( d3.extent(termFrequencyData.matrixFlat.map((d) => d[textForm.score])) ); const legend = Legend(color, { title: `${textForm.score}` }); const container = d3.create("div"); container.classed("tokenized-text-container", true); // container.append(legend); const div = container.append("div"); div.classed("tokenized-texts", true); container.append("style").text(` div.tokenized-texts { overflow: scroll; height: 500px; } div.tokenized-texts div { // background-color: silver; margin: 10px 0px; padding: 10px 0px; text-wrap: wrap; border: 1px solid #222222; } div.tokenized-texts div span { border-radius: 5px; border: 1px solid #73AD21; margin: 5px 2px; display: inline-block; // mix-blend-mode: difference; // color: attr(data-color color); } div.tokenized-texts div span::after { content: attr(data-score); background: #DDDDDD; border-radius: 20%; padding: 0.3em; color: black; font-size: x-small; margin: 2px 5px; } `); // const docScores = new Map( // Array.from(termFrequencyData.matrix.entries()).map((d) => [ // d[0], // d3.sum(d[1].values(), (x) => x[textForm.score]) // ]) // ); // const sortedDocs = d3.sort( // termFrequencyData.tokenizedDocs, // (d, docId) => -docScores.get(docId) // ); const docScores = new Map( d3.sort( Array.from(termFrequencyData.matrix.entries()).map((d) => [ d[0], d3.sum( Array.from(d[1].entries()).filter( (x) => queryTokens.indexOf(x[1].word) >= 0 ), (x) => x[1][textForm.score] ) ]), (a, b) => -(a[1] - b[1]) ) ); const sortedDocs = d3.sort( termFrequencyData.tokenizedDocs.map((d, docId) => Object.assign(d, { docId: docId }) ), (d) => -docScores.get(d.docId) ); // const sortedDocs = termFrequencyData.tokenizedDocs; div .selectAll("div") .data(sortedDocs) .enter() .append("div") // .append("p") .selectAll("span") // .data((d, docId) => d.map((x) => Object.assign(x, { docId: docId }))) .data((d) => d.map((x) => Object.assign(x, { docId: d.docId }))) .enter() .append("span") .text((d) => d.token) .attr("data-score", (d) => termFrequencyData.matrix .get(d.docId) .get(termFrequencyData.vocabulary.get(d.token)) [textForm.score].toFixed(2) ) .style("background-color", (d) => d3.color( color( termFrequencyData.matrix .get(d.docId) .get(termFrequencyData.vocabulary.get(d.token))[textForm.score] ) ) ) .style("padding", "2px"); return container.node(); }31:T74b,Plot.plot({ style: "overflow: visible;", width: 1024, // height: 400, padding: 0, grid: true, // data: // queryTokens x: { axis: "top", label: "Document", // ticks: d3.ticks(...d3.extent(termFrequencyData.matrix, (d, i) => i), 10), // tickFormat: "d", // interval: 1 // recommended in case of missing data // label: null }, // y: { label: "Document", axis: "right" }, color: { type: "linear", scheme: "Viridis", legend: true, reverse: false }, marks: [ Plot.axisY({ label: "Word", anchor: "right", labelAnchor: "top", labelArrow: "down", // tickSize: 0, // don’t draw ticks // dx: 0, // offset right // dy: -6, // offset up // lineAnchor: "bottom", // draw labels above grid lines tickFormat: (d, i, _) => termFrequencyData.vocabArray[d].word, color: (d, i, _) => queryTokens.length > 0 && queryTokens.indexOf(termFrequencyData.vocabArray[d].word) >= 0 ? "red" : "black" }), Plot.cell( termFrequencyData.matrixFlat.filter( (d) => matchingDocIds.has(d.docId) && queryTokens.length > 0 && queryTokens.indexOf(d.word) >= 0 ), { y: "wordId", x: "docId", // fill: "value", fill: textForm.score, inset: 0.5, stroke: (d) => queryTokens.length > 0 && queryTokens.indexOf(d.word) >= 0 ? "red" : "none", strokeWidth: (d) => queryTokens.length > 0 && queryTokens.indexOf(d.word) >= 0 ? 2 : 0 // sort: { x: (d) => matchingDocIds.get(d.docId) } } ) // Plot.text(termFrequencyData.matrixFlat, { // y: "j", // x: "i", // text: (d) => d.value, // // text: (d) => d.value?.toFixed(1), // fill: "black" // }) ] })32:T879,originalCorpus = [ { id: 1, text: "The cat sat quietly on the mat near the window." }, { id: 2, text: "The dog barked at the mailman for delivering a package." }, { id: 3, text: "A quick brown fox jumped swiftly over a lazy dog in the backyard." }, { id: 4, text: "The sun is shining brightly, making it a perfect day for outdoor activities." }, { id: 5, text: "Reading books in the quiet library helps me focus and relax." }, { id: 6, text: "The weather forecast predicts heavy rain and thunderstorms tomorrow." }, { id: 7, text: "Python is a programming language used in web development and data science." }, { id: 8, text: "Artificial Intelligence algorithms are improving the accuracy of language translation tools." }, { id: 9, text: "The stock market experienced fluctuations due to economic uncertainties." }, { id: 10, text: "I enjoy hiking in the Rocky Mountains during the summer vacations." }, { id: 11, text: "Climate change is a growing concern that requires immediate attention from policymakers." }, { id: 12, text: "The pandemic severely impacted global trade and economies worldwide." }, { id: 13, text: "Electric cars are seen as a solution to combat the effects of climate change." }, { id: 14, text: "She enjoys painting landscapes, particularly mountain scenery and sunsets." }, { id: 15, text: "The local football team celebrated their victory in the championship game." }, { id: 16, text: "Quantum computing and artificial intelligence are revolutionizing industries such as healthcare and finance." }, { id: 17, text: "Social media algorithms influence public opinion and political discourse." }, { id: 18, text: "Switching to renewable energy is essential for addressing climate change." }, { id: 19, text: "The newly opened restaurant in town offers vegan and sustainable dining options." }, { id: 20, text: "Exploring national parks is a great way to experience the beauty of nature and go hiking." } ]33:T65b,hardExamples = [ { id: 21, text: "The change in climate patterns this year has impacted crop yields.", misleading_for: "climate change" }, { id: 22, text: "The artificial flavors in the ice cream didn't taste as good as natural ones.", misleading_for: "artificial intelligence" }, { id: 23, text: "Her intelligence was artificial, and she used it to deceive everyone at the party.", misleading_for: "artificial intelligence" }, { id: 24, text: "Hiking up the artificial mountain in the theme park was surprisingly exhausting.", misleading_for: "hiking in the mountains" }, { id: 25, text: "The latest news highlighted how intelligence agencies are using artificial cover identities.", misleading_for: "artificial intelligence" }, { id: 26, text: "The football team faced an artificial climate in the dome stadium during the championship game.", misleading_for: "climate change" }, { id: 27, text: "He experienced a change of pace while hiking in the artificial desert near the city.", misleading_for: "hiking in the mountains" }, { id: 28, text: "The conference on artificial food products had many intelligent discussions.", misleading_for: "artificial intelligence" }, { id: 29, text: "Climate conditions vary drastically across the mountain ranges, especially during hiking trips.", misleading_for: "hiking in the mountains" }, { id: 30, text: "Artificial structures were built to simulate the changing climate of the desert.", misleading_for: "climate change" } ]34:Td11,function createTermFrequencyMatrix(documents) { // const termFreqMatrix = []; const vocabulary = new Map(); const vocabArray = new Array(); // Tokenize each document and create a vocabulary set const tokenizedDocs = documents.map((doc) => { const tokens = tokenize(doc.text); tokens.forEach((token) => { const word = token.token; if (vocabulary.has(word)) { vocabArray[vocabulary.get(word)].docs.add(doc.id); vocabArray[vocabulary.get(word)].Nw += 1; } else { vocabulary.set(word, vocabArray.length); vocabArray.push({ word: word, docs: new Set([doc.id]), Nw: 1 }); } }); // Add to vocabulary return tokens; }); vocabArray.sort((w1, w2) => w2.docs.length - w1.docs.length); vocabArray.forEach((w, i) => { vocabulary.set(w.word, i); }); // Convert vocabulary set to array for easier column referencing // const vocabArray = Array.from(vocabulary); // Create document-term frequency matrix // tokenizedDocs.forEach((tokens) => { // const termFreq = new Array(vocabArray.length).fill(0); // tokens.forEach((token) => { // const word = token.token; // if (vocabulary.has(word)) { // termFreq[vocabulary.get(word)]++; // } // }); // termFreqMatrix.push(termFreq); // }); const documentLengths = tokenizedDocs.map((tokens) => tokens.length); const avgDocLength = d3.mean(documentLengths); const numDocs = documents.length; const termFreqMatrixSparse = d3.rollup( tokenizedDocs.flatMap((tokens, docId) => tokens.map((token) => Object.assign({ docId, wordId: vocabulary.get(token.token) }) ) ), (g) => Object.assign({ docId: g[0].docId, wordId: g[0].wordId, word: vocabArray[g[0].wordId].word, termFrequency: g.length, r: documentLengths[g[0].docId] / avgDocLength, tfScore: getTf(g.length, documentLengths[g[0].docId] / avgDocLength), idfScore: getIDF(vocabArray[g[0].wordId].docs.size, numDocs), bm25Score: getTf(g.length, documentLengths[g[0].docId] / avgDocLength) * getIDF(vocabArray[g[0].wordId].docs.size, numDocs) }), (d) => d.docId, (d) => d.wordId ); // const matrixFlat = termFreqMatrix.flatMap((row, docId) => // row // .map((x, wordId) => // Object.assign({ // docId: docId, // wordId: wordId, // word: vocabArray[wordId].word, // termFrequency: x, // r: documentLengths[docId] / avgDocLength, // tfScore: getTf(x, documentLengths[docId] / avgDocLength), // idfScore: getIDF(vocabArray[wordId].docs.size, numDocs), // bm25Score: // getTf(x, documentLengths[docId] / avgDocLength) * // getIDF(vocabArray[wordId].docs.size, numDocs) // }) // ) // .filter((d) => d.termFrequency > 0) // ); return { matrix: termFreqMatrixSparse, matrixFlat: Array.from(termFreqMatrixSparse.values()).flatMap((d) => Array.from(d.values()) ), vocabulary: vocabulary, vocabArray: vocabArray, documentLengths: documentLengths, avgDocLength: avgDocLength, numDocs: numDocs, tokenizedDocs: tokenizedDocs }; }35:Td7c7,neurips2023Papers = JSON.parse( `[{"title":"Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks","url":"https://neurips.cc/virtual/2023/poster/71818"},{"title":"Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering","url":"https://neurips.cc/virtual/2023/poster/71641"},{"title":"Sparse Deep Learning for Time Series Data: Theory and Applications","url":"https://neurips.cc/virtual/2023/poster/72629"},{"title":"SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis","url":"https://neurips.cc/virtual/2023/poster/73469"},{"title":"Demystifying the Optimal Performance of Multi-Class Classification","url":"https://neurips.cc/virtual/2023/poster/70427"},{"title":"Learning Functional Transduction","url":"https://neurips.cc/virtual/2023/poster/72972"},{"title":"Estimating Causal Effects Identifiable from a Combination of Observations and Experiments","url":"https://neurips.cc/virtual/2023/poster/72135"},{"title":"Train Hard, Fight Easy: Robust Meta Reinforcement Learning","url":"https://neurips.cc/virtual/2023/poster/72040"},{"title":"Finding Local Minima Efficiently in Decentralized Optimization","url":"https://neurips.cc/virtual/2023/poster/72413"},{"title":"A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods","url":"https://neurips.cc/virtual/2023/poster/70959"},{"title":"Meta-Learning Adversarial Bandit Algorithms","url":"https://neurips.cc/virtual/2023/poster/70327"},{"title":"EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks","url":"https://neurips.cc/virtual/2023/poster/71819"},{"title":"BIOT: Biosignal Transformer for Cross-data Learning in the Wild","url":"https://neurips.cc/virtual/2023/poster/71117"},{"title":"Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework","url":"https://neurips.cc/virtual/2023/poster/73708"},{"title":"VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models","url":"https://neurips.cc/virtual/2023/poster/70045"},{"title":"Sequential Predictive Two-Sample and Independence Testing","url":"https://neurips.cc/virtual/2023/poster/71151"},{"title":"ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation","url":"https://neurips.cc/virtual/2023/poster/73569"},{"title":"Energy Guided Diffusion for Generating Neurally Exciting Images","url":"https://neurips.cc/virtual/2023/poster/72996"},{"title":"Characterization and Learning of Causal Graphs with Small Conditioning Sets","url":"https://neurips.cc/virtual/2023/poster/71110"},{"title":"Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds","url":"https://neurips.cc/virtual/2023/poster/70442"},{"title":"Interactive Visual Reasoning under Uncertainty","url":"https://neurips.cc/virtual/2023/poster/73482"},{"title":"End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes","url":"https://neurips.cc/virtual/2023/poster/70635"},{"title":"Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities","url":"https://neurips.cc/virtual/2023/poster/71827"},{"title":"Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection","url":"https://neurips.cc/virtual/2023/poster/71012"},{"title":"Stable Bias: Evaluating Societal Representations in Diffusion Models","url":"https://neurips.cc/virtual/2023/poster/73455"},{"title":"On kernel-based statistical learning theory in the mean field limit","url":"https://neurips.cc/virtual/2023/poster/71247"},{"title":"Partial Multi-Label Learning with Probabilistic Graphical Disambiguation","url":"https://neurips.cc/virtual/2023/poster/72068"},{"title":"Learning To Dive In Branch And Bound","url":"https://neurips.cc/virtual/2023/poster/70739"},{"title":"Inferring Hybrid Neural Fluid Fields from Videos","url":"https://neurips.cc/virtual/2023/poster/70643"},{"title":"Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor","url":"https://neurips.cc/virtual/2023/poster/70400"},{"title":"Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization","url":"https://neurips.cc/virtual/2023/poster/71038"},{"title":"BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction","url":"https://neurips.cc/virtual/2023/poster/72263"},{"title":"Learning Nonparametric Latent Causal Graphs with Unknown Interventions","url":"https://neurips.cc/virtual/2023/poster/71626"},{"title":"EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images","url":"https://neurips.cc/virtual/2023/poster/73600"},{"title":"Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier","url":"https://neurips.cc/virtual/2023/poster/72967"},{"title":"STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning","url":"https://neurips.cc/virtual/2023/poster/71385"},{"title":"PreDiff: Precipitation Nowcasting with Latent Diffusion Models","url":"https://neurips.cc/virtual/2023/poster/72200"},{"title":"Identifiable Contrastive Learning with Automatic Feature Importance Discovery","url":"https://neurips.cc/virtual/2023/poster/72483"},{"title":"Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks","url":"https://neurips.cc/virtual/2023/poster/72315"},{"title":"NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA","url":"https://neurips.cc/virtual/2023/poster/70644"},{"title":"LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images","url":"https://neurips.cc/virtual/2023/poster/72474"},{"title":"Subspace Identification for Multi-Source Domain Adaptation","url":"https://neurips.cc/virtual/2023/poster/72501"},{"title":"Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference","url":"https://neurips.cc/virtual/2023/poster/69888"},{"title":"Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time","url":"https://neurips.cc/virtual/2023/poster/71316"},{"title":"On Generalization Bounds for Projective Clustering","url":"https://neurips.cc/virtual/2023/poster/71587"},{"title":"Distribution-Free Statistical Dispersion Control for Societal Applications","url":"https://neurips.cc/virtual/2023/poster/72619"},{"title":"Estimating Noise Correlations Across Continuous Conditions With Wishart Processes","url":"https://neurips.cc/virtual/2023/poster/72880"},{"title":"On the Robustness of Removal-Based Feature Attributions","url":"https://neurips.cc/virtual/2023/poster/71167"},{"title":"Squared Neural Families: A New Class of Tractable Density Models","url":"https://neurips.cc/virtual/2023/poster/72272"},{"title":"Characterizing the Impacts of Semi-supervised Learning for Weak Supervision","url":"https://neurips.cc/virtual/2023/poster/71255"},{"title":"Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent","url":"https://neurips.cc/virtual/2023/poster/70372"},{"title":"DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening","url":"https://neurips.cc/virtual/2023/poster/70609"},{"title":"Adversarially Robust Learning with Uncertain Perturbation Sets","url":"https://neurips.cc/virtual/2023/poster/72438"},{"title":"Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems","url":"https://neurips.cc/virtual/2023/poster/71074"},{"title":"trajdata: A Unified Interface to Multiple Human Trajectory Datasets","url":"https://neurips.cc/virtual/2023/poster/73699"},{"title":"GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients","url":"https://neurips.cc/virtual/2023/poster/71976"},{"title":"Hypothesis Selection with Memory Constraints","url":"https://neurips.cc/virtual/2023/poster/70598"},{"title":"ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation","url":"https://neurips.cc/virtual/2023/poster/71598"},{"title":"Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs","url":"https://neurips.cc/virtual/2023/poster/73635"},{"title":"ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training","url":"https://neurips.cc/virtual/2023/poster/71339"},{"title":"Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization","url":"https://neurips.cc/virtual/2023/poster/72355"},{"title":"Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models","url":"https://neurips.cc/virtual/2023/poster/70534"},{"title":"Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes","url":"https://neurips.cc/virtual/2023/poster/71967"},{"title":"Individual Arbitrariness and Group Fairness","url":"https://neurips.cc/virtual/2023/poster/70480"},{"title":"CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation","url":"https://neurips.cc/virtual/2023/poster/72038"},{"title":"Change point detection and inference in multivariate non-parametric models under mixing conditions","url":"https://neurips.cc/virtual/2023/poster/72716"},{"title":"Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning","url":"https://neurips.cc/virtual/2023/poster/72301"},{"title":"Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization","url":"https://neurips.cc/virtual/2023/poster/72508"},{"title":"Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices","url":"https://neurips.cc/virtual/2023/poster/70498"},{"title":"Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs","url":"https://neurips.cc/virtual/2023/poster/70023"},{"title":"A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)","url":"https://neurips.cc/virtual/2023/poster/70063"},{"title":"OV-PARTS: Towards Open-Vocabulary Part Segmentation","url":"https://neurips.cc/virtual/2023/poster/73650"},{"title":"When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability","url":"https://neurips.cc/virtual/2023/poster/70652"},{"title":"Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data","url":"https://neurips.cc/virtual/2023/poster/71338"},{"title":"Spectral Co-Distillation for Personalized Federated Learning","url":"https://neurips.cc/virtual/2023/poster/71642"},{"title":"Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks","url":"https://neurips.cc/virtual/2023/poster/71728"},{"title":"Optimal Preconditioning and Fisher Adaptive Langevin Sampling","url":"https://neurips.cc/virtual/2023/poster/71745"},{"title":"DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model","url":"https://neurips.cc/virtual/2023/poster/70639"},{"title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions","url":"https://neurips.cc/virtual/2023/poster/71473"},{"title":"Noether Embedding: Efficient Learning of Temporal Regularities","url":"https://neurips.cc/virtual/2023/poster/72976"},{"title":"Function Space Bayesian Pseudocoreset for Bayesian Neural Networks","url":"https://neurips.cc/virtual/2023/poster/71152"},{"title":"Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation","url":"https://neurips.cc/virtual/2023/poster/72361"},{"title":"Self-Supervised Reinforcement Learning that Transfers using Random Features","url":"https://neurips.cc/virtual/2023/poster/70151"},{"title":"Quantum speedups for stochastic optimization","url":"https://neurips.cc/virtual/2023/poster/71804"},{"title":"MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining","url":"https://neurips.cc/virtual/2023/poster/72778"},{"title":"Unifying GANs and Score-Based Diffusion as Generative Particle Models","url":"https://neurips.cc/virtual/2023/poster/72168"},{"title":"Learning List-Level Domain-Invariant Representations for Ranking","url":"https://neurips.cc/virtual/2023/poster/70563"},{"title":"Cross-modal Active Complementary Learning with Self-refining Correspondence","url":"https://neurips.cc/virtual/2023/poster/71522"},{"title":"SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models","url":"https://neurips.cc/virtual/2023/poster/72303"},{"title":"From Tempered to Benign Overfitting in ReLU Neural Networks","url":"https://neurips.cc/virtual/2023/poster/71939"},{"title":"Fast and Simple Spectral Clustering in Theory and Practice","url":"https://neurips.cc/virtual/2023/poster/71723"},{"title":"Going beyond persistent homology using persistent homology","url":"https://neurips.cc/virtual/2023/poster/72975"},{"title":"Robust Concept Erasure via Kernelized Rate-Distortion Maximization","url":"https://neurips.cc/virtual/2023/poster/72139"},{"title":"Vocabulary-free Image Classification","url":"https://neurips.cc/virtual/2023/poster/72064"},{"title":"Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy","url":"https://neurips.cc/virtual/2023/poster/70001"},{"title":"A Scalable Neural Network for DSIC Affine Maximizer Auction Design","url":"https://neurips.cc/virtual/2023/poster/71096"},{"title":"Context-lumpable stochastic bandits","url":"https://neurips.cc/virtual/2023/poster/72314"},{"title":"3D-Aware Visual Question Answering about Parts, Poses and Occlusions","url":"https://neurips.cc/virtual/2023/poster/72544"},{"title":"DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data","url":"https://neurips.cc/virtual/2023/poster/72380"},{"title":"RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability","url":"https://neurips.cc/virtual/2023/poster/71822"},{"title":"Hardware Resilience Properties of Text-Guided Image Classifiers","url":"https://neurips.cc/virtual/2023/poster/70781"},{"title":"Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements","url":"https://neurips.cc/virtual/2023/poster/72441"},{"title":"FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow","url":"https://neurips.cc/virtual/2023/poster/71181"},{"title":"Uncertainty-Aware Instance Reweighting for Off-Policy Learning","url":"https://neurips.cc/virtual/2023/poster/72993"},{"title":"Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning","url":"https://neurips.cc/virtual/2023/poster/72289"},{"title":"Transformers learn through gradual rank increase","url":"https://neurips.cc/virtual/2023/poster/70343"},{"title":"[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization","url":"https://neurips.cc/virtual/2023/poster/74176"},{"title":"Combining Behaviors with the Successor Features Keyboard","url":"https://neurips.cc/virtual/2023/poster/72199"},{"title":"Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable 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Adversarial Bandit Algorithms EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks BIOT: Biosignal Transformer for Cross-data Learning in the Wild Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sequential Predictive Two-Sample and Independence Testing ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation Energy Guided Diffusion for Generating Neurally Exciting Images Characterization and Learning of Causal Graphs with Small Conditioning Sets Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Interactive Visual Reasoning under Uncertainty End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Stable Bias: Evaluating Societal Representations in Diffusion Models On kernel-based statistical learning theory in the mean field limit Partial Multi-Label Learning with Probabilistic Graphical Disambiguation Learning To Dive In Branch And Bound Inferring Hybrid Neural Fluid Fields from Videos Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction Learning Nonparametric Latent Causal Graphs with Unknown Interventions EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning PreDiff: Precipitation Nowcasting with Latent Diffusion Models Identifiable Contrastive Learning with Automatic Feature Importance Discovery Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Subspace Identification for Multi-Source Domain Adaptation Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time On Generalization Bounds for Projective Clustering Distribution-Free Statistical Dispersion Control for Societal Applications Estimating Noise Correlations Across Continuous Conditions With Wishart Processes On the Robustness of Removal-Based Feature Attributions Squared Neural Families: A New Class of Tractable Density Models Characterizing the Impacts of Semi-supervised Learning for Weak Supervision Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Adversarially Robust Learning with Uncertain Perturbation Sets Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems trajdata: A Unified Interface to Multiple Human Trajectory Datasets GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Hypothesis Selection with Memory Constraints ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes Individual Arbitrariness and Group Fairness CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation Change point detection and inference in multivariate non-parametric models under mixing conditions Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) OV-PARTS: Towards Open-Vocabulary Part Segmentation When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Spectral Co-Distillation for Personalized Federated Learning Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks Optimal Preconditioning and Fisher Adaptive Langevin Sampling DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model Nonparametric Identifiability of Causal Representations from Unknown Interventions Noether Embedding: Efficient Learning of Temporal Regularities Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation Self-Supervised Reinforcement Learning that Transfers using Random Features Quantum speedups for stochastic optimization MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining Unifying GANs and Score-Based Diffusion as Generative Particle Models Learning List-Level Domain-Invariant Representations for Ranking Cross-modal Active Complementary Learning with Self-refining Correspondence SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models From Tempered to Benign Overfitting in ReLU Neural Networks Fast and Simple Spectral Clustering in Theory and Practice Going beyond persistent homology using persistent homology Robust Concept Erasure via Kernelized Rate-Distortion Maximization Vocabulary-free Image Classification Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy A Scalable Neural Network for DSIC Affine Maximizer Auction Design Context-lumpable stochastic bandits 3D-Aware Visual Question Answering about Parts, Poses and Occlusions DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Hardware Resilience Properties of Text-Guided Image Classifiers Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow Uncertainty-Aware Instance Reweighting for Off-Policy Learning Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning Transformers learn through gradual rank increase [Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization Combining Behaviors with the Successor Features Keyboard Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems Aligning Gradient and Hessian for Neural Signed Distance Function Harnessing the power of choices in decision tree learning Deep Patch Visual Odometry C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models Graph Clustering with Graph Neural Networks Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Self-Supervised Visual Acoustic Matching PointGPT: Auto-regressively Generative Pre-training from Point Clouds Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model Contextual Bandits and Imitation Learning with Preference-Based Active Queries Estimating the Rate-Distortion Function by Wasserstein Gradient Descent PCF-GAN: generating sequential data via the characteristic function of measures on the path space H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Efficient Equivariant Transfer Learning from Pretrained Models Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Inverse Reinforcement Learning with the Average Reward Criterion Inferring the Future by Imagining the Past Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Robust Bayesian Satisficing Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees Data-Centric Learning from Unlabeled Graphs with Diffusion Model Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine Chatting Makes Perfect: Chat-based Image Retrieval Textually Pretrained Speech Language Models Structure of universal formulas Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations Optimized Covariance Design for AB Test on Social Network under Interference ZipLM: Inference-Aware Structured Pruning of Language Models Full-Atom Protein Pocket Design via Iterative Refinement Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Causal Fairness for Outcome Control Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator Learning to Configure Separators in Branch-and-Cut When Do Neural Nets Outperform Boosted Trees on Tabular Data? Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners CAT-Walk: Inductive Hypergraph Learning via Set Walks NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing [Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas Optimal Algorithms for the Inhomogeneous Spiked Wigner Model BiMatting: Efficient Video Matting via Binarization From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces Learning World Models with Identifiable Factorization Multi-task learning with summary statistics Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile Guiding The Last Layer in Federated Learning with Pre-Trained Models Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Labeling Neural Representations with Inverse Recognition On the Variance, Admissibility, and Stability of Empirical Risk Minimization A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Diverse Community Data for Benchmarking Data Privacy Algorithms WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design Large Language Models of Code Fail at Completing Code with Potential Bugs Data Portraits: Recording Foundation Model Training Data Implicit variance regularization in non-contrastive SSL SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling Thin and deep Gaussian processes Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback On the Generalization Properties of Diffusion Models Learning Large Graph Property Prediction via Graph Segment Training MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Failure-Aware Gaussian Process Optimization with Regret Bounds FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow D-Separation for Causal Self-Explanation Implicit Convolutional Kernels for Steerable CNNs Efficient Neural Music Generation Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations Diffusion Schrödinger Bridge Matching Maximum State Entropy Exploration using Predecessor and Successor Representations EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought Nonparametric Teaching for Multiple Learners Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective Multiplication-Free Transformer Training via Piecewise Affine Operations Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology On the Exploitability of Instruction Tuning Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Causal Effect Identification in Uncertain Causal Networks Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy Bayesian Learning via Q-Exponential Process Learning non-Markovian Decision-Making from State-only Sequences Learning Mask-aware CLIP Representations for Zero-Shot Segmentation MAG-GNN: Reinforcement Learning Boosted Graph Neural Network How hard are computer vision datasets? Calibrating dataset difficulty to viewing time HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models Langevin Quasi-Monte Carlo Emergent and Predictable Memorization in Large Language Models Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection Score-based Data Assimilation Enhancing Adversarial Robustness via Score-Based Optimization Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time Leveraging sparse and shared feature activations for disentangled representation learning UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild Lossy Image Compression with Conditional Diffusion Models Kiki or Bouba? Sound Symbolism in Vision-and-Language Models Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback Cognitive Model Discovery via Disentangled RNNs Analysis of Variance of Multiple Causal Networks OpenProteinSet: Training data for structural biology at scale Geometric Neural Diffusion Processes Have it your way: Individualized Privacy Assignment for DP-SGD Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes Adversarial Learning for Feature Shift Detection and Correction FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Reflexion: language agents with verbal reinforcement learning ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking Parallel Submodular Function Minimization Most Neural Networks Are Almost Learnable Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models Fast Bellman Updates for Wasserstein Distributionally Robust MDPs Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability FedNAR: Federated Optimization with Normalized Annealing Regularization A Cross-Moment Approach for Causal Effect Estimation DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement Segment Anything in High Quality Conservative Offline Policy Adaptation in Multi-Agent Games SoundCam: A Dataset for Finding Humans Using Room Acoustics Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation Uncovering Meanings of Embeddings via Partial Orthogonality Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement Characterizing Out-of-Distribution Error via Optimal Transport AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation Thinker: Learning to Plan and Act Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction Unbiased learning of deep generative models with structured discrete representations Advice Querying under Budget Constraint for Online Algorithms Collaboratively Learning Linear Models with Structured Missing Data Deep Non-line-of-sight Imaging from Under-scanning Measurements Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning $\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model Data Selection for Language Models via Importance Resampling Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers” Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting Near-optimal learning with average Hölder smoothness To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Making Scalable Meta Learning Practical SQ Lower Bounds for Learning Mixtures of Linear Classifiers A State Representation for Diminishing Rewards Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions $k$-Means Clustering with Distance-Based Privacy Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Im-Promptu: In-Context Composition from Image Prompts Private Federated Frequency Estimation: Adapting to the Hardness of the Instance Improving Language Plasticity via Pretraining with Active Forgetting Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model The Transient Nature of Emergent In-Context Learning in Transformers Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Exponentially Convergent Algorithms for Supervised Matrix Factorization Reproducibility study of the Fairness-enhanced Node Representation Learning ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction Recurrent Temporal Revision Graph Networks Unsupervised Learning for Solving the Travelling Salesman Problem Reinforcement Learning with Simple Sequence Priors Direct Preference Optimization: Your Language Model is Secretly a Reward Model Active Learning for Semantic Segmentation with Multi-class Label Query NPCL: Neural Processes for Uncertainty-Aware Continual Learning Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes A unified framework for information-theoretic generalization bounds Online Convex Optimization with Unbounded Memory Reusable Slotwise Mechanisms Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Solving Inverse Physics Problems with Score Matching Learning Energy-based Model via Dual-MCMC Teaching Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Direct Preference-based Policy Optimization without Reward Modeling What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models $\varepsilon$-fractional core stability in Hedonic Games. Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition LIMA: Less Is More for Alignment Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images Tuning Multi-mode Token-level Prompt Alignment across Modalities StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Equivariant Adaptation of Large Pretrained Models Adversarial Training from Mean Field Perspective On the Learnability of Multilabel Ranking A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation Sharp Spectral Rates for Koopman Operator Learning ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics Described Object Detection: Liberating Object Detection with Flexible Expressions Evaluating Self-Supervised Learning for Molecular Graph Embeddings Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search An active learning framework for multi-group mean estimation Conformal Prediction Sets for Ordinal Classification Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models Federated Conditional Stochastic Optimization Successor-Predecessor Intrinsic Exploration Federated Learning with Manifold Regularization and Normalized Update Reaggregation Synthetic Experience Replay Learning Human Action Recognition Representations Without Real Humans Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition Derandomized novelty detection with FDR control via conformal e-values Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction Multi-Agent First Order Constrained Optimization in Policy Space Collapsed Inference for Bayesian Deep Learning Automated Classification of Model Errors on ImageNet Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Generative Neural Fields by Mixtures of Neural Implicit Functions Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Disentanglement via Latent Quantization Training Transitive and Commutative Multimodal Transformers with LoReTTa Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Label Poisoning is All You Need Neural (Tangent Kernel) Collapse Rewiring Neurons in Non-Stationary Environments Evaluating Cognitive Maps and Planning in Large Language Models with CogEval On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences New Bounds for Hyperparameter Tuning of Regression Problems Across Instances Adaptive Test-Time Personalization for Federated Learning Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects Faith and Fate: Limits of Transformers on Compositionality Transformers learn to implement preconditioned gradient descent for in-context learning PAPR: Proximity Attention Point Rendering Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models Learning to Augment Distributions for Out-of-distribution Detection LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning Sparse Modular Activation for Efficient Sequence Modeling Sharp Bounds for Generalized Causal Sensitivity Analysis f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences Skill-it! A data-driven skills framework for understanding and training language models ExPT: Synthetic Pretraining for Few-Shot Experimental Design Disentangling Cognitive Diagnosis with Limited Exercise Labels Transition-constant Normalization for Image Enhancement Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Residual Q-Learning: Offline and Online Policy Customization without Value Symbolic Discovery of Optimization Algorithms On the Convergence of CART under Sufficient Impurity Decrease Condition Learning Reliable Logical Rules with SATNet HIQL: Offline Goal-Conditioned RL with Latent States as Actions CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation Trade-off Between Efficiency and Consistency for Removal-based Explanations RevColV2: Exploring Disentangled Representations in Masked Image Modeling Goal-Conditioned Predictive Coding for Offline Reinforcement Learning Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval Federated Learning with Bilateral Curation for Partially Class-Disjoint Data A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Lie Point Symmetry and Physics-Informed Networks A generative model of the hippocampal formation trained with theta driven local learning rules Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system Finite-Time Logarithmic Bayes Regret Upper Bounds MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Delegated Classification Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision On Masked Pre-training and the Marginal Likelihood`37:[] 2e:{"title":"BM25","cells":[{"id":0,"value":"# BM25\n\n${tex.block`\n\nlog\\left(\\frac{P(D \\mid R=1)}{P(D \\mid R=0)}\\right) = \\sum_{word(w) \\in Q \\cap D} \\left[\n\\overbrace{\\color{red}\\left(\\frac{d_w*(1 + k)}{d_w + k((1 - b) + \\frac{b*dl}{\\mathbb{E}(dl)})}\\right)}^{Term Score}\n*\n\\underbrace{\\color{blue}log\\left(\\frac{N - N_w + 0.5}{N_w + 0.5}\\right)}_{IDF Score}\n\\right]\n`}\n\n\nThe ${tex`IDFScore`} is actually the log odds of a word across documents. i.e. it can be rewritten as: \n${tex.block`\nIDF Score = logOdds = log \\left(\\frac{1-p_d(w)}{p_d(w)}\\right)\n`}\n\nWhere ${tex`p_d(w)`} is the probability of word in corpus based on binary occurrence in docs.\n\n\n## References\n* https://www.youtube.com/watch?v=XFIKE34HafY","pinned":false,"hidden":false,"mode":"md"},{"id":472,"value":"$${htl.html`

\n ${tfPlot}\n

\n ${idfPlot}\n

`}","pinned":false,"hidden":false,"mode":"md"},{"id":451,"value":"$${tex.block`\n\nlog\\left(\\frac{P(D \\mid R=1)}{P(D \\mid R=0)}\\right) = \\sum_{word(w) \\in Q \\cap D} \\left[\n\\overbrace{\\color{red}\\left(\\frac{d_w*(1 + ${form.k})}{d_w + ${form.k}((1 - ${form.b}) + \\frac{${form.b}*dl}{\\mathbb{E}(dl)})}\\right)}^{Term Score}\n*\n\\underbrace{\\color{blue}log\\left(\\frac{${Math.pow(10, form.logN).toFixed(0)} - N_w + 0.5}{N_w + 0.5}\\right)}_{IDF Score}\n\\right]\n`}","pinned":false,"hidden":false,"mode":"md"},{"id":26,"value":"viewof form = Inputs.form(\n {\n k: Inputs.range([0, 11], { value: 1.2, step: 0.1, label: \"k\" }),\n b: Inputs.range([0, 1], { value: 0.75, step: 0.01, label: \"b\" }),\n logN: Inputs.range([0, 9], { value: 3, step: 0.1, label: \"logN\" })\n // avg_dl: Inputs.range([10, 100], { value: 5, step: 0.1, label: \"E(dl)\" })\n // dl: Inputs.range([10, 1000], { value: 5, step: 0.1, label: \"dl\" })\n },\n {\n template: (inputs) => htl.html`

BM25 Parameters

\n ${Object.values(inputs)}\n

`\n }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":188,"value":"viewof textForm = Inputs.form(\n {\n query: Inputs.text({\n value: \"deep learning\",\n submit: true\n }),\n documents: Inputs.textarea({\n value: corpusExamples.map((d) => d.text).join(\"\\n\"),\n numRows: 10,\n submit: true\n }),\n score: Inputs.radio([\"termFrequency\", \"bm25Score\", \"tfScore\", \"idfScore\"], {\n label: \"Score\",\n value: \"bm25Score\"\n })\n // submit: html``\n }\n // { submit: true }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":718,"value":"queryTokens","pinned":false,"hidden":false,"mode":"ojs"},{"id":715,"value":"Array.from(\n Array.from(termFrequencyData.matrix.entries())[1][1].entries()\n).filter((x) => queryTokens.indexOf(x[1].word) >= 0)","pinned":false,"hidden":false,"mode":"ojs"},{"id":709,"value":"Array.from(termFrequencyData.matrix.entries()).map((d) => [\n d[0],\n // d[1]\n // Array.from(d[1].entries())\n // Array.from(d[1].entries()).filter((x) => queryTokens.indexOf(x[1].word) >= 0)\n d3.sum(\n Array.from(d[1].entries()).filter(\n (x) => queryTokens.indexOf(x[1].word) >= 0\n ),\n (x) => x[1][textForm.score]\n )\n])","pinned":false,"hidden":false,"mode":"ojs"},{"id":674,"value":"docScores = new Map(\n d3.sort(\n Array.from(termFrequencyData.matrix.entries()).map((d) => [\n d[0],\n d3.sum(\n Array.from(d[1].entries()).filter(\n (x) => queryTokens.indexOf(x[1].word) >= 0\n ),\n (x) => x[1][textForm.score]\n )\n ]),\n (a, b) => -(a[1] - b[1])\n )\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":690,"value":"termFrequencyData.tokenizedDocs.map((d) => d[0])","pinned":false,"hidden":false,"mode":"ojs"},{"id":685,"value":"sortedDocs = d3.sort(\n termFrequencyData.tokenizedDocs.map((d, docId) =>\n Object.assign(d, { docId: docId })\n ),\n (d) => -docScores.get(d.docId)\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":668,"value":"Legend(\n d3\n .scaleSequential(d3.interpolateViridis)\n .domain(\n d3.extent(termFrequencyData.matrixFlat.map((d) => d[textForm.score]))\n ),\n {\n title: `${textForm.score}`\n }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":488,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":383,"value":"searchResults","pinned":false,"hidden":false,"mode":"ojs"},{"id":277,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":43,"value":"tfPlot = Plot.plot({\n style: \"overflow: visible;\",\n height: 300,\n // width: 1000,\n y: { grid: true, label: \"Term Score\" },\n x: { grid: true, label: \"Term Frequency (dw)\" },\n color: { legend: true, type: \"log\", label: \"Ratio = dl / E(dl)\" },\n marks: [Plot.ruleY([0]), Plot.lineY(data, { x: \"dw\", y: \"tf\", stroke: \"r\" })]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":149,"value":"idfPlot = Plot.plot({\n height: 300,\n // width: 1000,\n x: { grid: true, label: \"Num docs for word (Nw)\", type: \"log\" },\n y: { grid: true, label: \"IDF Score\" },\n marks: [\n Plot.ruleY([0]),\n Plot.lineY(dataIDF, { x: \"Nw\", y: \"idf\", stroke: \"red\" })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":31,"value":"dw = Array(100)\n .fill(0)\n .map((d, i) => i)","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"function getTf(x, r) {\n return (x * (1 + form.k)) / (x + form.k * (1 - form.b + form.b * r));\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":54,"value":"ratios = [\n 1,\n 1 * 0.1,\n 1 * 0.2,\n 1 * 0.5,\n 1 * 0.8,\n 1 * 0.9,\n 1 * 1.1,\n 1 * 1.5,\n 1 * 1.9,\n 1 * 2.0,\n 1 * 3.0,\n 1 * 20.0,\n 1 / 0.1,\n 1 / 0.2,\n 1 / 0.5,\n 1 / 0.8,\n 1 / 0.9\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":34,"value":"data = dw.flatMap((x) =>\n ratios.map((r) => Object.assign({ dw: x, tf: getTf(x, r), r: r }))\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":136,"value":"N = Math.pow(10, form.logN)","pinned":false,"hidden":false,"mode":"ojs"},{"id":139,"value":"Nw = d3.range(0, form.logN, form.logN / 100).map((x) => Math.pow(10, x))","pinned":false,"hidden":false,"mode":"ojs"},{"id":142,"value":"function getIDF(Nw, N) {\n const r = (N - Nw + 0.5) / (Nw + 0.5);\n return Math.log10(r);\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":147,"value":"dataIDF = Nw.map((x) => Object.assign({ Nw: x, idf: getIDF(x, N) }))","pinned":false,"hidden":false,"mode":"ojs"},{"id":201,"value":"## BM25 Search","pinned":false,"hidden":false,"mode":"md"},{"id":203,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":205,"value":"queries = [\n {\n id: 1,\n query: \"Climate change\"\n },\n {\n id: 2,\n query: \"Artificial Intelligence\"\n },\n {\n id: 3,\n query: \"Hiking in the mountains\"\n }\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":210,"value":"// corpusExamples = originalCorpus.concat(\n// hardExamples.map((d) => Object.assign({ id: d.id, text: d.text }))\n// )\n\ncorpusExamples = neurips2023Papers.map((d, i) =>\n Object.assign(d, { id: i, text: d.title })\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":248,"value":"textForm.query","pinned":false,"hidden":false,"mode":"ojs"},{"id":218,"value":"corpus = textForm.documents\n .split(\"\\n\")\n .filter((d) => d.trim().length > 0)\n .map((d, i) => Object.assign({ id: i, text: d }))","pinned":false,"hidden":false,"mode":"ojs"},{"id":255,"value":"corpus","pinned":true,"hidden":false,"mode":"ojs"},{"id":397,"value":"// tokenRegExp = /[\\w]+/","pinned":true,"hidden":false,"mode":"ojs"},{"id":415,"value":"Array.from(\"hello world. 123\".matchAll(/[\\w]+/g))","pinned":false,"hidden":false,"mode":"ojs"},{"id":257,"value":"function tokenize(text) {\n // Convert text to lowercase\n // text = text.toLowerCase();\n\n // Remove punctuation using regex (keeps letters, numbers, and spaces)\n // text = text.replace(/[^\\w\\s]/g, \"\");\n\n // Split the text into words by spaces\n // const words = text.split(/\\s+/);\n const tokens = Array.from(text.matchAll(/[\\w]+/g)).map((t) =>\n Object.assign({\n index: t.index,\n length: t[0].length,\n token: t[0].toLowerCase()\n })\n );\n\n // Remove any empty strings from the array (optional)\n // return words.filter((word) => word.length > 0);\n return tokens;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":379,"value":"searchResults = Array.from(matchingDocIds.entries()).map((d) =>\n Object.assign(corpus[d[0]], { docId: d[0], score: d[1] })\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":368,"value":"matchingDocIds = d3.rollup(\n termFrequencyData.matrixFlat.filter(\n (d) => queryTokens.length == 0 || queryTokens.indexOf(d.word) >= 0\n ),\n (g) => d3.sum(g.map((x) => x[textForm.score])),\n (d) => d.docId\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":420,"value":"// queryTokens.map()","pinned":true,"hidden":false,"mode":"ojs"},{"id":259,"value":"queryTokens = tokenize(textForm.query).map((t) => t.token)","pinned":true,"hidden":false,"mode":"ojs"},{"id":261,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":263,"value":"termFrequencyData = createTermFrequencyMatrix(corpus)","pinned":false,"hidden":false,"mode":"ojs"},{"id":582,"value":"d3.extent(termFrequencyData.matrixFlat.map((d) => d[textForm.score]))","pinned":true,"hidden":false,"mode":"ojs"},{"id":526,"value":"d3\n .color(d3.scaleSequential(d3.interpolateBlues).domain([0, 100])(50))\n .formatHex()","pinned":true,"hidden":false,"mode":"ojs"},{"id":596,"value":"## Get data\n\nVisit: https://neurips.cc/virtual/2023/papers.html?filter=titles\n\n```javascript\nnodes = document.querySelectorAll(\"div.myCard h5.card-title\")\ndata = Array.from(nodes).map(d => Object.assign({\n title: d.innerText,\n url: d.parentElement.href,\n}));\nJSON.stringify(data)\n\n```","pinned":false,"hidden":false,"mode":"md"},{"id":604,"value":"neurips2023Papers","pinned":true,"hidden":false,"mode":"ojs"},{"id":594,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":606,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":227,"value":"// searchResultsLunr = index.search(textForm.query).map((r) =>\n// Object.assign(r, {\n// text: corpus[parseInt(r.ref)].text,\n// id: parseInt(r.ref)\n// })\n// )","pinned":false,"hidden":false,"mode":"ojs"},{"id":225,"value":"// index = lunr(function () {\n// this.ref(\"id\");\n// this.field(\"text\");\n// corpus.forEach(function (doc) {\n// this.add(doc);\n// }, this);\n// })","pinned":false,"hidden":false,"mode":"ojs"},{"id":216,"value":"// lunr = require(\"lunr\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":655,"value":"import { Legend, Swatches } from \"@d3/color-legend\"","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W37","stdlib":"1","titling":"auto"}