mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 17 Oct 2021

96 papers

  1. Reminding the Incremental Language Model via Data-Free Self-DistillationKnowledge distillation → Distillation for continual learning
  2. Towards Instance-Optimal Offline Reinforcement Learning with PessimismOffline RL and imitation learning from data → Offline RL algorithms
  3. A Survey on Awesome Korean NLP Datasets
  4. AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning
  5. Active Learning for Deep Visual Tracking
  6. Illiterate DALL-E Learns to Compose
  7. ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks
  8. Unrestricted Adversarial Attacks on ImageNet Competition
  9. POLE: Polarized Embedding for Signed Networks
  10. Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
  11. Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair
  12. Dynamic Slimmable Denoising Network
  13. Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules
  14. InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild
  15. On the Effect of Selfie Beautification Filters on Face Detection and Recognition
  16. Poisoning Attacks on Fair Machine Learning
  17. Quantifying the Task-Specific Information in Text-Based Classifications
  18. MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on WiFi Sensing and Clustering
  19. A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
  20. Explaining generalization in deep learning: progress and fundamental limits
  21. Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
  22. Deep forecasting of translational impact in medical research
  23. On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence
  24. Gravitational wave surrogates through automated machine learning
  25. Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
  26. DECAR: Deep Clustering for learning general-purpose Audio Representations
  27. Temporally stable video segmentation without video annotations
  28. Network Augmentation for Tiny Deep Learning
  29. Schr"odinger's Tree -- On Syntax and Neural Language Models
  30. Persuasion by Dimension Reduction
  31. Predicting the Performance of Multilingual NLP Models
  32. Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
  33. Contrastive Learning of Visual-Semantic Embeddings
  34. Expectation Distance-based Distributional Clustering for Noise-Robustness
  35. Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix
  36. Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
  37. 3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
  38. Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
  39. Growing Representation Learning
  40. Online Continual Learning Via Candidates Voting
  41. Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
  42. Understanding the network formation pattern for better link prediction
  43. Provable RL with Exogenous Distractors via Multistep Inverse Dynamics
  44. Fine-Grained Opinion Summarization with Minimal Supervision
  45. Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks
  46. Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations
  47. Exploring Deep Neural Networks on Edge TPU
  48. Localization with Sampling-Argmax
  49. Siamese Transformer Pyramid Networks for Real-Time UAV Tracking
  50. On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine
  51. MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation
  52. A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI
  53. TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding
  54. Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage
  55. Attention W-Net: Improved Skip Connections for better Representations
  56. Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning
  57. Revealing Disocclusions in Temporal View Synthesis through Infilling Vector Prediction
  58. Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks
  59. Towards Language-guided Visual Recognition via Dynamic Convolutions
  60. Taming Visually Guided Sound Generation
  61. PixelPyramids: Exact Inference Models from Lossless Image Pyramids
  62. Self-Supervised U-Net for Segmenting Flat and Sessile Polyps
  63. Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion
  64. An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes
  65. Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
  66. Temporal Knowledge Graph Reasoning Triggered by Memories
  67. S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
  68. Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
  69. Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
  70. Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem
  71. TIP: Task-Informed Motion Prediction for Intelligent Vehicles
  72. A model for full local image interpretation
  73. GNN-LM: Language Modeling based on Global Contexts via GNN
  74. LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
  75. A Deep Learning-based Approach for Real-time Facemask Detection
  76. Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms
  77. VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds
  78. Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
  79. Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans
  80. A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization
  81. CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans
  82. Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
  83. AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
  84. Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
  85. Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
  86. Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
  87. NeuralArTS: Structuring Neural Architecture Search with Type Theory
  88. Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
  89. A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks
  90. SIN:Superpixel Interpolation Network
  91. Elastic Shape Analysis of Tree-like 3D Objects using Extended SRVF Representation
  92. Terminal Embeddings in Sublinear Time
  93. Tackling the Imbalance for GNNs
  94. Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
  95. MG-GCN: Scalable Multi-GPU GCN Training Framework
  96. A Learning-based Approach Towards Automated Tuning of SSD Configurations