mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 7 Jun 2021

257 papers

  1. XIRL: Cross-embodiment Inverse Reinforcement LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  2. Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
  3. Learning to Efficiently Sample from Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  4. DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task LearningMixture-of-experts → MoE theory and gating functions
  5. RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  6. Identifiability in inverse reinforcement learningOffline RL and imitation learning from data → Inverse reinforcement learning
  7. Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
  8. Zero-Shot Knowledge Distillation from a Decision-Based Black-Box ModelKnowledge distillation → General knowledge distillation methods
  9. Progressive Open-Domain Response Generation with Multiple Controllable Attributes
  10. Encoding Involutory Invariances in Neural Networks
  11. MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders
  12. Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning
  13. FedNILM: Applying Federated Learning to NILM Applications at the Edge
  14. Verifiable and Compositional Reinforcement Learning Systems
  15. DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting
  16. EventDrop: data augmentation for event-based learning
  17. Hybrid Machine Learning Forecasts for the UEFA EURO 2020
  18. Launchpad: A Programming Model for Distributed Machine Learning Research
  19. Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina
  20. A structured latent space for human body motion generation
  21. An Intelligent Hybrid Model for Identity Document Classification
  22. Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
  23. The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization
  24. JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
  25. FEAR: A Simple Lightweight Method to Rank Architectures
  26. Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions
  27. Widening Access to Applied Machine Learning with TinyML
  28. On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion
  29. Task-Generic Hierarchical Human Motion Prior using VAEs
  30. Double Descent and Other Interpolation Phenomena in GANs
  31. Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes
  32. Lexicon Learning for Few-Shot Neural Sequence Modeling
  33. Weakly Supervised Volumetric Image Segmentation with Deformed Templates
  34. Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
  35. Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
  36. Generating Hypothetical Events for Abductive Inference
  37. Batch Normalization Orthogonalizes Representations in Deep Random Networks
  38. Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models
  39. Amortized Generation of Sequential Algorithmic Recourses for Black-box Models
  40. Generative Flows with Invertible Attentions
  41. Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
  42. Novel View Video Prediction Using a Dual Representation
  43. Correcting Momentum in Temporal Difference Learning
  44. Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem
  45. Neural Abstractive Unsupervised Summarization of Online News Discussions
  46. Predicting Different Types of Subtle Toxicity in Unhealthy Online Conversations
  47. TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion
  48. Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection
  49. Offline Policy Comparison under Limited Historical Agent-Environment Interactions
  50. How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild
  51. Entropy Regularized Reinforcement Learning Using Large Deviation Theory
  52. Improving Social Welfare While Preserving Autonomy via a Pareto Mediator
  53. Reconciling Rewards with Predictive State Representations
  54. Interactive Label Cleaning with Example-based Explanations
  55. Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
  56. Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments
  57. Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
  58. Learning to Guide a Saturation-Based Theorem Prover
  59. AutoPtosis
  60. When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
  61. PILOT: Introducing Transformers for Probabilistic Sound Event Localization
  62. Shifting Transformation Learning for Out-of-Distribution Detection
  63. SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention
  64. SIGTYP 2021 Shared Task: Robust Spoken Language Identification
  65. Differentiable Quality Diversity
  66. Rethinking Graph Transformers with Spectral Attention
  67. Noisy intermediate-scale quantum algorithm for semidefinite programming
  68. Differentiable Multiple Shooting Layers
  69. Encoding-dependent generalization bounds for parametrized quantum circuits
  70. Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
  71. SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
  72. GAN Cocktail: mixing GANs without dataset access
  73. Mean-Shifted Contrastive Loss for Anomaly Detection
  74. Equivariant Graph Neural Networks for 3D Macromolecular Structure
  75. NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
  76. MemStream: Memory-Based Streaming Anomaly Detection
  77. Counterfactual Maximum Likelihood Estimation for Training Deep Networks
  78. A Simple Recipe for Multilingual Grammatical Error Correction
  79. Stateful Strategic Regression
  80. Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
  81. Multivariate Probabilistic Regression with Natural Gradient Boosting
  82. Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-based Multimodal Fusion
  83. Accurate Shapley Values for explaining tree-based models
  84. A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
  85. Diversity driven Query Rewriting in Search Advertising
  86. High Resolution Solar Image Generation using Generative Adversarial Networks
  87. Neural Monge Map estimation and its applications
  88. Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
  89. 3DB: A Framework for Debugging Computer Vision Models
  90. Deep Medial Fields
  91. Visual Transformer for Task-aware Active Learning
  92. Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications
  93. DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering
  94. Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
  95. Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
  96. COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
  97. Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning
  98. Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
  99. Multi-armed Bandit Requiring Monotone Arm Sequences
  100. Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
All 257
  1. Generative Adversarial Networks: A Survey Towards Private and Secure Applications
  2. An Information-theoretic Approach to Distribution Shifts
  3. Learning Stochastic Optimal Policies via Gradient Descent
  4. X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing
  5. CDN-MEDAL: Two-stage Density and Difference Approximation Framework for Motion Analysis
  6. Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems
  7. Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs
  8. Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
  9. Few-Shot Unsupervised Image-to-Image Translation on complex scenes
  10. On Inductive Biases for Heterogeneous Treatment Effect Estimation
  11. On the Expressive Power of Self-Attention Matrices
  12. Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks
  13. Frustratingly Easy Uncertainty Estimation for Distribution Shift
  14. FairCal: Fairness Calibration for Face Verification
  15. HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
  16. Towards robust and domain agnostic reinforcement learning competitions
  17. The Inductive Bias of Quantum Kernels
  18. Efficient Training of Visual Transformers with Small Datasets
  19. Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
  20. Training Strategies for Deep Learning Gravitational-Wave Searches
  21. Unsupervised Action Segmentation for Instructional Videos
  22. The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves
  23. Reveal of Vision Transformers Robustness against Adversarial Attacks
  24. Encouraging Neural Machine Translation to Satisfy Terminology Constraints
  25. Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
  26. Stability to Deformations of Manifold Filters and Manifold Neural Networks
  27. Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
  28. Error Loss Networks
  29. OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
  30. Person Re-Identification with a Locally Aware Transformer
  31. Incremental False Negative Detection for Contrastive Learning
  32. Diverse Pretrained Context Encodings Improve Document Translation
  33. Refiner: Refining Self-attention for Vision Transformers
  34. A Comprehensive Assessment of Dialog Evaluation Metrics
  35. Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
  36. Can a single neuron learn predictive uncertainty?
  37. Formalizing Distribution Inference Risks
  38. Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
  39. Neurons on Amoebae
  40. Learning by Transference: Training Graph Neural Networks on Growing Graphs
  41. A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning
  42. Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing
  43. Extending counterfactual accounts of intent to include oblique intent
  44. Towards a Multi-purpose Robotic Nursing Assistant
  45. Learning a performance metric of Buchberger's algorithm
  46. Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments
  47. Open source disease analysis system of cactus by artificial intelligence and image processing
  48. Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
  49. Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
  50. Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
  51. Photonic Differential Privacy with Direct Feedback Alignment
  52. Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
  53. SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure
  54. Deep Canonical Correlation Alignment for Sensor Signals
  55. GTM: A Generative Triple-Wise Model for Conversational Question Generation
  56. PROST: Physical Reasoning of Objects through Space and Time
  57. Quantifying and Improving Transferability in Domain Generalization
  58. Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
  59. Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
  60. PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
  61. Multi-modal Entity Alignment in Hyperbolic Space
  62. Document-level Relation Extraction as Semantic Segmentation
  63. Adversarial Attack and Defense in Deep Ranking
  64. High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
  65. Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space
  66. Beyond Bandit Feedback in Online Multiclass Classification
  67. Learning Combinatorial Node Labeling Algorithms
  68. Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
  69. Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
  70. Nonparametric adaptive control and prediction: theory and randomized algorithms
  71. Asynchronous speedup in decentralized optimization
  72. Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
  73. Free-Choice Nets With Home Clusters Are Lucent
  74. On Learning to Rank Long Sequences with Contextual Bandits
  75. How Tight Can PAC-Bayes be in the Small Data Regime?
  76. End-to-end reconstruction meets data-driven regularization for inverse problems
  77. Graph Neural Networks in Network Neuroscience
  78. SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce
  79. CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System
  80. Multi-Exit Semantic Segmentation Networks
  81. Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
  82. RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
  83. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
  84. Top-KAST: Top-K Always Sparse Training
  85. Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos
  86. The Distance Transform and its Computation
  87. Efficient training for future video generation based on hierarchical disentangled representation of latent variables
  88. Density estimation on smooth manifolds with normalizing flows
  89. Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection
  90. Weakly-supervised word-level pronunciation error detection in non-native English speech
  91. Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition
  92. Redundant representations help generalization in wide neural networks
  93. BERTGEN: Multi-task Generation through BERT
  94. A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
  95. FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
  96. BayesIMP: Uncertainty Quantification for Causal Data Fusion
  97. Local Algorithms for Estimating Effective Resistance
  98. Relative Importance in Sentence Processing
  99. Multilingual Neural Semantic Parsing for Low-Resourced Languages
  100. Learning stable reduced-order models for hybrid twins
  101. Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
  102. Shape As Points: A Differentiable Poisson Solver
  103. supervised adptive threshold network for instance segmentation
  104. Causal Influence Detection for Improving Efficiency in Reinforcement Learning
  105. Average-Reward Reinforcement Learning with Trust Region Methods
  106. Attention Temperature Matters in Abstractive Summarization Distillation
  107. Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
  108. Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification
  109. Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers
  110. Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring
  111. Source-Free Open Compound Domain Adaptation in Semantic Segmentation
  112. Multi-Target Domain Adaptation with Collaborative Consistency Learning
  113. Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
  114. Resolution learning in deep convolutional networks using scale-space theory
  115. Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
  116. Antipodes of Label Differential Privacy: PATE and ALIBI
  117. Network Inference and Influence Maximization from Samples
  118. How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
  119. A generative model for molecule generation based on chemical reaction trees
  120. Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs
  121. Apurin~a Universal Dependencies Treebank
  122. Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline
  123. DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI
  124. ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass
  125. LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models
  126. A Globally Normalized Neural Model for Semantic Parsing
  127. Commutative Lie Group VAE for Disentanglement Learning
  128. RegMix: Data Mixing Augmentation for Regression
  129. Generalized Linear Bandits with Local Differential Privacy
  130. Application of neural networks to classification of data of the TUS orbital telescope
  131. Evaluating State-of-the-Art Classification Models Against Bayes Optimality
  132. DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
  133. AI without networks
  134. Understanding Neural Code Intelligence Through Program Simplification
  135. The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
  136. Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
  137. ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
  138. A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
  139. Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
  140. Energy Aligning for Biased Models
  141. Instrument Space Selection for Kernel Maximum Moment Restriction
  142. Summary Grounded Conversation Generation
  143. Wide-Baseline Relative Camera Pose Estimation with Directional Learning
  144. SelfDoc: Self-Supervised Document Representation Learning
  145. Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation
  146. Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
  147. Uncertain Process Data with Probabilistic Knowledge: Problem Characterization and Challenges
  148. A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
  149. Exploring to establish an appropriate model for image aesthetic assessment via CNN-based RSRL: An empirical study
  150. Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
  151. Measuring Generalization with Optimal Transport
  152. HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
  153. Sum of Ranked Range Loss for Supervised Learning
  154. Video Instance Segmentation using Inter-Frame Communication Transformers
  155. On the Language Coverage Bias for Neural Machine Translation
  156. Stein ICP for Uncertainty Estimation in Point Cloud Matching
  157. Video Imprint