mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 28 May 2022

103 papers

  1. Parameter-Efficient and Student-Friendly Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  2. Gating Dropout: Communication-efficient Regularization for Sparsely Activated TransformersMixture-of-experts → MoE large language models
  3. Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsLLM reasoning → Mathematical reasoning
  4. TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning
  5. Contributor-Aware Defenses Against Adversarial Backdoor Attacks
  6. FaIRCoP: Facial Image Retrieval using Contrastive Personalization
  7. 3D-model ShapeNet Core Classification using Meta-Semantic Learning
  8. Snapture -- A Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
  9. A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
  10. Functional Linear Regression of Cumulative Distribution Functions
  11. Temporal support vectors for spiking neuronal networks
  12. SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
  13. Improving VAE-based Representation Learning
  14. Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction
  15. A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
  16. Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
  17. Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations
  18. Online Learning with Bounded Recall
  19. Additive Higher-Order Factorization Machines
  20. Core-set Selection Using Metrics-based Explanations (CSUME) for multiclass ECG
  21. Introducing Non-Linear Activations into Quantum Generative Models
  22. Optimal Decision Diagrams for Classification
  23. BadDet: Backdoor Attacks on Object Detection
  24. SuperVoice: Text-Independent Speaker Verification Using Ultrasound Energy in Human Speech
  25. Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
  26. Noise-Aware Statistical Inference with Differentially Private Synthetic Data
  27. Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit
  28. MDMLP: Image Classification from Scratch on Small Datasets with MLP
  29. DeepRM: Deep Recurrent Matching for 6D Pose Refinement
  30. Efficient-Adam: Communication-Efficient Distributed Adam
  31. Perceptually Optimized Color Selection for Visualization
  32. Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
  33. ByteComp: Revisiting Gradient Compression in Distributed Training
  34. BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset
  35. Collaborative likelihood-ratio estimation over graphs
  36. Visual Perception of Building and Household Vulnerability from Streets
  37. CyCLIP: Cyclic Contrastive Language-Image Pretraining
  38. Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning
  39. An adaptive admittance controller for collaborative drilling with a robot based on subtask classification via deep learning
  40. Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
  41. Visual Superordinate Abstraction for Robust Concept Learning
  42. A Closer Look at Self-Supervised Lightweight Vision Transformers
  43. Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
  44. Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
  45. Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty
  46. Go Beyond Multiple Instance Neural Networks: Deep-learning Models based on Local Pattern Aggregation
  47. Approximation of Functionals by Neural Network without Curse of Dimensionality
  48. Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
  49. Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning
  50. Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
  51. Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
  52. Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns
  53. Rethinking the Setting of Semi-supervised Learning on Graphs
  54. Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
  55. Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
  56. Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
  57. Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior
  58. WaveMix: A Resource-efficient Neural Network for Image Analysis
  59. Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
  60. Going Deeper into Permutation-Sensitive Graph Neural Networks
  61. Granular Generalized Variable Precision Rough Sets and Rational Approximations
  62. Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher
  63. Fair Labeled Clustering
  64. Multi-Task Learning with Multi-Query Transformer for Dense Prediction
  65. Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images
  66. Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
  67. Object-wise Masked Autoencoders for Fast Pre-training
  68. List-Decodable Sparse Mean Estimation
  69. Teaching Models to Express Their Uncertainty in Words
  70. One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation
  71. V4d: voxel for 4d novel view synthesis
  72. Survival Analysis on Structured Data using Deep Reinforcement Learning
  73. Differentiable Point-Based Radiance Fields for Efficient View Synthesis
  74. Speech Augmentation Based Unsupervised Learning for Keyword Spotting
  75. Point RCNN: An Angle-Free Framework for Rotated Object Detection
  76. Efficient Policy Iteration for Robust Markov Decision Processes via Regularization
  77. Adaptive Activation Network For Low Resource Multilingual Speech Recognition
  78. Feature subset selection for kernel SVM classification via mixed-integer optimization
  79. Differentially Private Covariance Revisited
  80. Multi-agent Databases via Independent Learning
  81. Automatic Expert Selection for Multi-Scenario and Multi-Task Search
  82. RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
  83. WT-MVSNet: Window-based Transformers for Multi-view Stereo
  84. A Confidence Machine for Sparse High-Order Interaction Model
  85. Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
  86. MolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation
  87. Approximate Conditional Coverage & Calibration via Neural Model Approximations
  88. Federated Neural Bandits
  89. Ensemble2: Anomaly Detection via EVT-Ensemble Framework for Seasonal KPIs in Communication Network
  90. Multimodal Fake News Detection via CLIP-Guided Learning
  91. Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks
  92. Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
  93. Tuning Frequency Bias in Neural Network Training with Nonuniform Data
  94. Deep Learning with Label Noise: A Hierarchical Approach
  95. MC-GEN:Multi-level Clustering for Private Synthetic Data Generation
  96. Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
  97. Is Lip Region-of-Interest Sufficient for Lipreading?
  98. Few-shot Subgoal Planning with Language Models
  99. Provably Auditing Ordinary Least Squares in Low Dimensions
  100. Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
All 103
  1. Fast Object Placement Assessment
  2. Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
  3. So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems