mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 27 Nov 2022

111 papers

  1. Diffusion Probabilistic Model Made SlimDiffusion models → Diffusion foundations and sampling
  2. Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital TwinEnd-to-end autonomous driving → Reinforcement learning for driving
  3. Unified Discrete Diffusion for Simultaneous Vision-Language GenerationDiffusion models → Image generation, text-to-image and editing
  4. Domain Generalization for Robust Model-Based Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  5. Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANsDiffusion models → Diffusion foundations and sampling
  6. Class-aware Information for Logit-based Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  7. Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated LearningLLM safety and security → Prompt injection and agent security
  8. Unbiased Knowledge Distillation for RecommendationKnowledge distillation → Distillation for recommender systems
  9. BadPrompt: Backdoor Attacks on Continuous PromptsLLM safety and security → Backdoor and data poisoning attacks
  10. Deep Multi-Emitter Spectrum Occupancy Mapping that is Robust to the Number of Sensors, Noise and Threshold
  11. Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI
  12. Edge Deep Learning Enabled Freezing of Gait Detection in Parkinson's Patients
  13. FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
  14. PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
  15. Adversarial Rademacher Complexity of Deep Neural Networks
  16. Neural Architecture for Online Ensemble Continual Learning
  17. Linear Classification of Neural Manifolds with Correlated Variability
  18. Label Alignment Regularization for Distribution Shift
  19. MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
  20. Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
  21. Federated Learning Attacks and Defenses: A Survey
  22. Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression
  23. Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
  24. Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction
  25. An Anomaly Detection Method for Satellites Using Monte Carlo Dropout
  26. RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems
  27. Eluder-based Regret for Stochastic Contextual MDPs
  28. UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
  29. Multi-Label Chest X-Ray Classification via Deep Learning
  30. Class-based Quantization for Neural Networks
  31. BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images
  32. SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement
  33. Post-Processing Temporal Action Detection
  34. Unsupervised Opinion Summarisation in the Wasserstein Space
  35. EPIK: Eliminating multi-model Pipelines with Knowledge-distillation
  36. CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation
  37. Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
  38. A Permutation-free Kernel Two-Sample Test
  39. Beyond 1-WL with Local Ego-Network Encodings
  40. Multi-Modal Few-Shot Temporal Action Detection
  41. 3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
  42. Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
  43. Knowledge Retrieval Using Functional Object-Oriented Networks
  44. Machine Learning for Smart and Energy-Efficient Buildings
  45. Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
  46. Combining Data Generation and Active Learning for Low-Resource Question Answering
  47. Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
  48. Understanding BLOOM: An empirical study on diverse NLP tasks
  49. A Faster, Lighter and Stronger Deep Learning-Based Approach for Place Recognition
  50. Foiling Explanations in Deep Neural Networks
  51. "Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations
  52. Performance evaluation of deep segmentation models for Contrails detection
  53. Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
  54. Learning Object-Language Alignments for Open-Vocabulary Object Detection
  55. Waveflow: boundary-conditioned normalizing flows applied to fermionic wavefunctions
  56. PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
  57. CLID: Controlled-Length Image Descriptions with Limited Data
  58. Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization
  59. Medical Image Segmentation Review: The success of U-Net
  60. ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling
  61. Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
  62. 3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue
  63. Adjustable Method Based on Body Parts for Improving the Accuracy of 3D Reconstruction in Visually Important Body Parts from Silhouettes
  64. Towards Realistic Underwater Dataset Generation and Color Restoration
  65. Deep Active Learning for Computer Vision: Past and Future
  66. SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
  67. Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
  68. A Kernel Perspective of Skip Connections in Convolutional Networks
  69. Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
  70. Neural Font Rendering
  71. Sampling Neural Radiance Fields for Refractive Objects
  72. Latent SHAP: Toward Practical Human-Interpretable Explanations
  73. A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies
  74. Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
  75. Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods
  76. Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
  77. ReGrAt: Regularization in Graphs using Attention to handle class imbalance
  78. Constrained Pure Exploration Multi-Armed Bandits with a Fixed Budget
  79. Prototype as Query for Few Shot Semantic Segmentation
  80. Multi-Label Continual Learning using Augmented Graph Convolutional Network
  81. VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
  82. A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types
  83. Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
  84. Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
  85. Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information
  86. Cross-domain Few-shot Segmentation with Transductive Fine-tuning
  87. BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning
  88. Searching for Uncollected Litter with Computer Vision
  89. Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
  90. MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding
  91. Attribution-based XAI Methods in Computer Vision: A Review
  92. X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
  93. Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
  94. BALF: Simple and Efficient Blur Aware Local Feature Detector
  95. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
  96. Asymptotic Optimality of Myopic Ranking and Selection Procedures
  97. Convergence Rate Analysis for Optimal Computing Budget Allocation Algorithms
  98. Generalizing Gaussian Smoothing for Random Search
  99. Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
  100. Fingerprint Pore Detection: A Survey
All 111
  1. A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
  2. 3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers
  3. Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey
  4. Identifying Chemicals Through Dimensionality Reduction
  5. Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions
  6. Semantic-Aware Local-Global Vision Transformer
  7. Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
  8. Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
  9. A novel multimodal dynamic fusion network for disfluency detection in spoken utterances
  10. A Theoretical Study of Inductive Biases in Contrastive Learning
  11. DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data