mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 12 Oct 2022

276 papers

  1. LION: Latent Point Diffusion Models for 3D Shape GenerationDiffusion models → 3D, point cloud and scene generation
  2. Semi-Supervised Offline Reinforcement Learning with Action-Free TrajectoriesOffline RL and imitation learning from data → Offline RL algorithms
  3. How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?LLM safety and security → Backdoor and data poisoning attacks
  4. Real World Offline Reinforcement Learning with Realistic Data SourceOffline RL and imitation learning from data → Real-world robot offline RL
  5. Self-Guided Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  6. Efficient Knowledge Distillation from Model CheckpointsKnowledge distillation → General knowledge distillation methods
  7. Can Pretrained Language Models (Yet) Reason Deductively?LLM reasoning → Reasoning benchmarks and evaluation
  8. Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative StudyLLM reasoning → Knowledge- and tool-augmented reasoning
  9. An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech RecognitionKnowledge distillation → Federated, robust and private distillation
  10. Probing Commonsense Knowledge in Pre-trained Language Models with Sense-level Precision and Expanded VocabularyLLM reasoning → Reasoning benchmarks and evaluation
  11. Non-Axiomatic Term Logic: A Computational Theory of Cognitive Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  12. TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  13. CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA ParadigmLLM reasoning → Reasoning benchmarks and evaluation
  14. Diffusion Models for Causal Discovery via Topological OrderingDiffusion models → Diffusion foundations and sampling
  15. DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  16. ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based CharactersWorld models → Embodied and robot world models
  17. Efficient Offline Policy Optimization with a Learned ModelOffline RL and imitation learning from data → Offline RL algorithms
  18. Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
  19. A Unified Framework for Alternating Offline Model Training and Policy LearningOffline RL and imitation learning from data → Offline RL algorithms
  20. Boosting Graph Neural Networks via Adaptive Knowledge DistillationKnowledge distillation → Graph neural network distillation
  21. Travel the Same Path: A Novel TSP Solving StrategyOffline RL and imitation learning from data → Imitation learning methods
  22. Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  23. Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image ManipulationDiffusion models → 3D, point cloud and scene generation
  24. A generative grammar of cooking
  25. Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels
  26. Resource-aware Deep Learning for Wireless Fingerprinting Localization
  27. A multi-category inverse design neural network and its application to diblock copolymers
  28. Grid cells and their potential application in AI
  29. The State-of-the-Art in AI-Based Malware Detection Techniques: A Review
  30. Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM
  31. Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics
  32. RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
  33. Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
  34. Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles
  35. QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
  36. Parallel photonic accelerator for decision making using optical spatiotemporal chaos
  37. On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups
  38. Language Agnostic Multilingual Information Retrieval with Contrastive Learning
  39. Fairness via Adversarial Attribute Neighbourhood Robust Learning
  40. Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
  41. OpenCQA: Open-ended Question Answering with Charts
  42. When does deep learning fail and how to tackle it? A critical analysis on polymer sequence-property surrogate models
  43. QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
  44. Anomaly Detection via Federated Learning
  45. A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
  46. Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
  47. Iterative Document-level Information Extraction via Imitation Learning
  48. Improving Question Answering with Generation of NQ-like Questions
  49. Find Your Friends: Personalized Federated Learning with the Right Collaborators
  50. Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression
  51. Sample Constrained Treatment Effect Estimation
  52. Differentially Private Online-to-Batch for Smooth Losses
  53. Can Calibration Improve Sample Prioritization?
  54. Rigorous dynamical mean field theory for stochastic gradient descent methods
  55. BLADERUNNER: Rapid Countermeasure for Synthetic (AI-Generated) StyleGAN Faces
  56. S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces
  57. Task-Free Continual Learning via Online Discrepancy Distance Learning
  58. FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations
  59. DATScore: Evaluating Translation with Data Augmented Translations
  60. GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF
  61. Gaussian Processes on Distributions based on Regularized Optimal Transport
  62. Flare7K: A Phenomenological Nighttime Flare Removal Dataset
  63. Developing a general-purpose clinical language inference model from a large corpus of clinical notes
  64. That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data
  65. Robust Neural Posterior Estimation and Statistical Model Criticism
  66. Toward the application of XAI methods in EEG-based systems
  67. MotionBERT: A Unified Perspective on Learning Human Motion Representations
  68. Auto-Encoding Goodness of Fit
  69. GULP: a prediction-based metric between representations
  70. A General Stochastic Optimization Framework for Convergence Bidding
  71. MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN
  72. Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
  73. Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
  74. Multilingual textual data: an approach through multiple factor analysis
  75. Microscopy is All You Need
  76. Subword Segmental Language Modelling for Nguni Languages
  77. Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection
  78. Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
  79. Understanding Impacts of Task Similarity on Backdoor Attack and Detection
  80. Robust Action Segmentation from Timestamp Supervision
  81. SUMBot: Summarizing Context in Open-Domain Dialogue Systems
  82. Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
  83. VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect
  84. Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers
  85. AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
  86. Predictive Querying for Autoregressive Neural Sequence Models
  87. Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
  88. Better Smatch = Better Parser? AMR evaluation is not so simple anymore
  89. Differentially private multivariate medians
  90. Are Sample-Efficient NLP Models More Robust?
  91. Token-Label Alignment for Vision Transformers
  92. Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
  93. Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding
  94. On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
  95. How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
  96. The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification
  97. Deep Combinatorial Aggregation
  98. Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning
  99. Self-supervised video pretraining yields robust and more human-aligned visual representations
  100. Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
All 276
  1. MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers
  2. Foundation Transformers
  3. A New Family of Generalization Bounds Using Samplewise Evaluated CMI
  4. Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing
  5. EleutherAI: Going Beyond "Open Science" to "Science in the Open"
  6. A Unified Framework with Meta-dropout for Few-shot Learning
  7. PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
  8. Interactive Language: Talking to Robots in Real Time
  9. Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
  10. Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems
  11. Improving information retention in large scale online continual learning
  12. DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System
  13. On Text Style Transfer via Style Masked Language Models
  14. What Makes Graph Neural Networks Miscalibrated?
  15. Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
  16. The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)
  17. GMP*: Well-Tuned Gradual Magnitude Pruning Can Outperform Most BERT-Pruning Methods
  18. Near-Optimal Multi-Agent Learning for Safe Coverage Control
  19. One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
  20. Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning
  21. Superpolynomial Lower Bounds for Decision Tree Learning and Testing
  22. Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
  23. Individualized Conditioning and Negative Distances for Speaker Separation
  24. A Generalist Framework for Panoptic Segmentation of Images and Videos
  25. AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
  26. A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
  27. MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection
  28. CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations
  29. Context Generation Improves Open Domain Question Answering
  30. Self-Attention Message Passing for Contrastive Few-Shot Learning
  31. ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view
  32. RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
  33. CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
  34. Momentum Aggregation for Private Non-convex ERM
  35. Betting the system: Using lineups to predict football scores
  36. SQuId: Measuring Speech Naturalness in Many Languages
  37. AISFormer: Amodal Instance Segmentation with Transformer
  38. The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
  39. Semantic Cross Attention for Few-shot Learning
  40. Deep learning extraction of band structure parameters from density of states: a case study on trilayer graphene
  41. Maximum entropy exploration in contextual bandits with neural networks and energy based models
  42. FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers
  43. Generalised Mutual Information for Discriminative Clustering
  44. SeKron: A Decomposition Method Supporting Many Factorization Structures
  45. A Cooperative Perception System Robust to Localization Errors
  46. Visual Prompting for Adversarial Robustness
  47. DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
  48. Language Models are Realistic Tabular Data Generators
  49. Task Compass: Scaling Multi-task Pre-training with Task Prefix
  50. Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
  51. Event-based Non-Rigid Reconstruction from Contours
  52. Predicting housing prices and analyzing real estate market in the Chicago suburbs using Machine Learning
  53. What can we learn about a generated image corrupting its latent representation?
  54. Zero-Shot On-the-Fly Event Schema Induction
  55. Back to the Future: On Potential Histories in NLP
  56. A context-aware knowledge transferring strategy for CTC-based ASR
  57. Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding
  58. Explore Contextual Information for 3D Scene Graph Generation
  59. FCT-GAN: Enhancing Table Synthesis via Fourier Transform
  60. Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
  61. Towards visually prompted keyword localisation for zero-resource spoken languages
  62. Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
  63. On the Generalizability of ECG-based Stress Detection Models
  64. Latency-aware Spatial-wise Dynamic Networks
  65. Hierarchical Instance Mixing across Domains in Aerial Segmentation
  66. Probabilistic Inverse Modeling: An Application in Hydrology
  67. Pruning Pre-trained Language Models Without Fine-Tuning
  68. SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment
  69. On Divergence Measures for Bayesian Pseudocoresets
  70. Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans
  71. GOTCHA: Real-Time Video Deepfake Detection via Challenge-Response
  72. Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation
  73. Privacy of federated QR decomposition using additive secure multiparty computation
  74. ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
  75. Aergia: Leveraging Heterogeneity in Federated Learning Systems
  76. Annotating Norwegian Language Varieties on Twitter for Part-of-Speech
  77. On the Importance of Gradient Norm in PAC-Bayesian Bounds
  78. Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
  79. Improved Data Augmentation for Translation Suggestion
  80. Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
  81. Towards Mining Creative Thinking Patterns from Educational Data
  82. Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
  83. THUEE system description for NIST 2020 SRE CTS challenge
  84. Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
  85. Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
  86. SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection
  87. EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain
  88. Federated Continual Learning for Text Classification via Selective Inter-client Transfer
  89. Masked Motion Encoding for Self-Supervised Video Representation Learning
  90. Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis
  91. Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge
  92. When are Local Queries Useful for Robust Learning?
  93. Annihilation of Spurious Minima in Two-Layer ReLU Networks
  94. Outlier-Insensitive Kalman Filtering Using NUV Priors
  95. Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
  96. E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
  97. Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning
  98. Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
  99. Reinforcement Learning with Automated Auxiliary Loss Search
  100. Question Answering Over Biological Knowledge Graph via Amazon Alexa
  101. Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
  102. Modular Flows: Differential Molecular Generation
  103. Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning
  104. VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
  105. Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics
  106. Integrating Translation Memories into Non-Autoregressive Machine Translation
  107. EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search
  108. Phantom -- A RL-driven multi-agent framework to model complex systems
  109. BoxMask: Revisiting Bounding Box Supervision for Video Object Detection
  110. JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE
  111. BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline
  112. Generative Adversarial Nets: Can we generate a new dataset based on only one training set?
  113. Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors
  114. Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data
  115. Improving Graph-Based Text Representations with Character and Word Level N-grams
  116. Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer
  117. SGDA with shuffling: faster convergence for nonconvex-PL minimax optimization
  118. SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities
  119. Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
  120. Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation
  121. GGViT:Multistream Vision Transformer Network in Face2Face Facial Reenactment Detection
  122. Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
  123. CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
  124. A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization
  125. RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
  126. BORA: Bayesian Optimization for Resource Allocation
  127. Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
  128. Clustering the Sketch: A Novel Approach to Embedding Table Compression
  129. Unsupervised Learning of Equivariant Structure from Sequences
  130. Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
  131. Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets
  132. Efficient Image Super-Resolution using Vast-Receptive-Field Attention
  133. JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
  134. Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
  135. Towards Theoretically Inspired Neural Initialization Optimization
  136. Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations
  137. Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification
  138. Classification by estimating the cumulative distribution function for small data
  139. 3D Brain and Heart Volume Generative Models: A Survey
  140. ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors
  141. Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property
  142. Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation
  143. ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
  144. Robust Models are less Over-Confident
  145. Equal Experience in Recommender Systems
  146. Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers
  147. Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems
  148. Few-shot Backdoor Attacks via Neural Tangent Kernels
  149. Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  150. Solving combinational optimization problems with evolutionary single-pixel imaging
  151. Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension
  152. Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation
  153. Enemy Spotted: in-game gun sound dataset for gunshot classification and localization
  154. Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
  155. PSNet: Parallel Symmetric Network for Video Salient Object Detection
  156. Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion
  157. A Lower Bound of Hash Codes' Performance
  158. Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
  159. DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
  160. Perplexity from PLM Is Unreliable for Evaluating Text Quality
  161. Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
  162. KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources
  163. AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
  164. Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients
  165. Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease
  166. Learning by Asking Questions for Knowledge-based Novel Object Recognition
  167. Statistical Modeling of Soft Error Influence on Neural Networks
  168. MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
  169. Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks
  170. LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD
  171. Deep Learning for Iris Recognition: A Survey
  172. SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
  173. FasterRisk: Fast and Accurate Interpretable Risk Scores
  174. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
  175. SegViT: Semantic Segmentation with Plain Vision Transformers
  176. LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos