mlsanityData to 7 Oct 2026

Papers

New on arXiv

Wed 1 Jun 2022

213 papers

  1. Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  2. On the Choice of Data for Efficient Training and Validation of End-to-End Driving ModelsEnd-to-end autonomous driving → End-to-end system architecture
  3. DiVAE: Photorealistic Images Synthesis with Denoising Diffusion DecoderDiffusion models → Diffusion foundations and sampling
  4. Elucidating the Design Space of Diffusion-Based Generative ModelsDiffusion models → Diffusion foundations and sampling
  5. Model Generation with Provable Coverability for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  6. Task-Specific Expert Pruning for Sparse Mixture-of-ExpertsMixture-of-experts → MoE theory and gating functions
  7. Transferable Reward Learning by Dynamics-Agnostic Discriminator EnsembleOffline RL and imitation learning from data → Inverse reinforcement learning
  8. On Gap-dependent Bounds for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  9. Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise BonusOffline RL and imitation learning from data → Offline RL algorithms
  10. Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
  11. Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
  12. A Multi-Policy Framework for Deep Learning-Based Fake News Detection
  13. Romantic-Computing
  14. HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization
  15. Active Inference for Robotic Manipulation
  16. SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment
  17. Natural Language Sentence Generation from API Specifications
  18. Visual Transformer for Object Detection
  19. HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
  20. ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
  21. Binding Dancers Into Attractors
  22. Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
  23. RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation
  24. Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs
  25. On the complexity of nonsmooth automatic differentiation
  26. Torsional Diffusion for Molecular Conformer Generation
  27. Learning logic programs by combining programs
  28. OmniXAI: A Library for Explainable AI
  29. Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems
  30. A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation
  31. Positive Unlabeled Contrastive Learning
  32. Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages
  33. ORC: Network Group-based Knowledge Distillation using Online Role Change
  34. From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
  35. CcHarmony: Color-checker based Image Harmonization Dataset
  36. Federated Learning under Distributed Concept Drift
  37. Multi-scale frequency separation network for image deblurring
  38. Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning
  39. Sequential Bayesian Neural Subnetwork Ensembles
  40. Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
  41. On the Generalization of Neural Combinatorial Optimization Heuristics
  42. Neural Decoding with Optimization of Node Activations
  43. Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness
  44. Core-periphery Models for Hypergraphs
  45. Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
  46. Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora
  47. On the reversibility of adversarial attacks
  48. Dynamic Linear Transformer for 3D Biomedical Image Segmentation
  49. Defense Against Gradient Leakage Attacks via Learning to Obscure Data
  50. On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
  51. Interpretability Guarantees with Merlin-Arthur Classifiers
  52. SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks
  53. Residual Multiplicative Filter Networks for Multiscale Reconstruction
  54. A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression
  55. Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
  56. Composition of Relational Features with an Application to Explaining Black-Box Predictors
  57. Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data
  58. Cascaded Video Generation for Videos In-the-Wild
  59. The Phenomenon of Policy Churn
  60. (Machine) Learning What Policies Value
  61. Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution
  62. Dataset Distillation using Neural Feature Regression
  63. Context-Driven Detection of Invertebrate Species in Deep-Sea Video
  64. Learning to Solve PDE-constrained Inverse Problems with Graph Networks
  65. Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
  66. Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
  67. Dense Crowd Flow-Informed Path Planning
  68. Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
  69. What Changed? Investigating Debiasing Methods using Causal Mediation Analysis
  70. RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model
  71. Studying the Practices of Deploying Machine Learning Projects on Docker
  72. Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction
  73. Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
  74. Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
  75. Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems
  76. Learning to Untangle Genome Assembly with Graph Convolutional Networks
  77. How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis
  78. MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
  79. Hopular: Modern Hopfield Networks for Tabular Data
  80. Learning-Augmented Algorithms for Online TSP on the Line
  81. Floorplan Restoration by Structure Hallucinating Transformer Cascades
  82. Graph Neural Networks with Precomputed Node Features
  83. A modular architecture for creating multimodal agents
  84. Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition
  85. Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis
  86. Unifying Voxel-based Representation with Transformer for 3D Object Detection
  87. CLIP4IDC: CLIP for Image Difference Captioning
  88. Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
  89. Graph Machine Learning for Design of High-Octane Fuels
  90. Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage
  91. Topological Deep Learning: Going Beyond Graph Data
  92. Logic-Based Ethical Planning
  93. Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts
  94. Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
  95. Dog nose print matching with dual global descriptor based on Contrastive Learning
  96. RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring
  97. The Fully Convolutional Transformer for Medical Image Segmentation
  98. Exploring Diversity in Back Translation for Low-Resource Machine Translation
  99. A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
  100. FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
All 213
  1. Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation
  2. Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines
  3. Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
  4. Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline
  5. Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data
  6. Deep Learning Opacity in Scientific Discovery
  7. Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
  8. One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
  9. Feature Selection for Discovering Distributional Treatment Effect Modifiers
  10. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
  11. The robust way to stack and bag: the local Lipschitz way
  12. Neural Network Verification with Proof Production
  13. Differentially Private Shapley Values for Data Evaluation
  14. Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
  15. Proximally Sensitive Error for Anomaly Detection and Feature Learning
  16. Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
  17. Incentivizing Combinatorial Bandit Exploration
  18. Semantic Room Wireframe Detection from a Single View
  19. Attack-Agnostic Adversarial Detection
  20. Rotate the ReLU to implicitly sparsify deep networks
  21. Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer
  22. Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
  23. Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
  24. Good Intentions: Adaptive Parameter Management via Intent Signaling
  25. PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
  26. An α-No-Regret Algorithm For Graphical Bilinear Bandits
  27. Ultrahyperbolic Knowledge Graph Embeddings
  28. CD2: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance
  29. Algorithmic Foundations of Empirical X-risk Minimization
  30. What a Creole Wants, What a Creole Needs
  31. Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder
  32. Evaluating Gaussian Grasp Maps for Generative Grasping Models
  33. Semantic Probabilistic Layers for Neuro-Symbolic Learning
  34. Open-environment Machine Learning
  35. In the Eye of the Beholder: Robust Prediction with Causal User Modeling
  36. Learning Invariant Visual Representations for Compositional Zero-Shot Learning
  37. Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
  38. NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
  39. On Quantum Circuits for Discrete Graphical Models
  40. Predicting Political Ideology from Digital Footprints
  41. Optimization with Access to Auxiliary Information
  42. Towards Generalisable Audio Representations for Audio-Visual Navigation
  43. Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis
  44. A comparative study between vision transformers and CNNs in digital pathology
  45. Transfer without Forgetting
  46. Generalized Supervised Contrastive Learning
  47. Neural Improvement Heuristics for Graph Combinatorial Optimization Problems
  48. Strongly Augmented Contrastive Clustering
  49. BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts
  50. Optical character recognition quality affects perceived usefulness of historical newspaper clippings
  51. Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
  52. An Empirical Study of Retrieval-enhanced Graph Neural Networks
  53. DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
  54. A Survey on Deep Learning for Skin Lesion Segmentation
  55. Support Vector Machines under Adversarial Label Contamination
  56. Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
  57. Towards view-invariant vehicle speed detection from driving simulator images
  58. Control of Two-way Coupled Fluid Systems with Differentiable Solvers
  59. CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection
  60. Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance
  61. B2T Connection: Serving Stability and Performance in Deep Transformers
  62. Amortized backward variational inference in nonlinear state-space models
  63. Contextual Bandits with Knapsacks for a Conversion Model
  64. MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining
  65. Label-Efficient Online Continual Object Detection in Streaming Video
  66. Federated Learning in Satellite Constellations
  67. Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning
  68. Perception-Intention-Action Cycle in Human-Robot Collaborative Tasks
  69. Predecessor Features
  70. Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
  71. Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
  72. MORE: A Metric Learning Based Framework for Open-domain Relation Extraction
  73. Stochastic Gradient Methods with Preconditioned Updates
  74. Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale
  75. Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing
  76. On the Perils of Cascading Robust Classifiers
  77. Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations
  78. Vision GNN: An Image is Worth Graph of Nodes
  79. Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
  80. PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry
  81. InducT-GCN: Inductive Graph Convolutional Networks for Text Classification
  82. Self-supervised Learning for Label Sparsity in Computational Drug Repositioning
  83. Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
  84. IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
  85. CoNSoLe: Convex Neural Symbolic Learning
  86. Star algorithm for NN ensembling
  87. Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
  88. Fair Comparison between Efficient Attentions
  89. Asymptotic Properties for Bayesian Neural Network in Besov Space
  90. Privacy for Free: How does Dataset Condensation Help Privacy?
  91. Continuous Prediction with Experts' Advice
  92. Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback
  93. DM2: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
  94. Multi-Object Grasping in the Plane
  95. Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
  96. Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views
  97. Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment
  98. Adaptive Online Learning of Quantum States
  99. THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
  100. LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
  101. Transformer with Fourier Integral Attentions
  102. CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
  103. Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
  104. DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
  105. Differentiable Soft-Masked Attention
  106. Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection
  107. Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization
  108. Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation
  109. Discovering the Hidden Vocabulary of DALLE-2
  110. Understanding How People Rate Their Conversations
  111. Byzantine-Robust Online and Offline Distributed Reinforcement Learning
  112. A Theoretical Framework for Inference Learning
  113. PAGER: Progressive Attribute-Guided Extendable Robust Image Generation