mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 26 Feb 2021

116 papers

  1. Scalable Multiagent Driving Policies For Reducing Traffic CongestionEnd-to-end autonomous driving → Cooperative and V2X driving
  2. PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  3. Learning Transferable Visual Models From Natural Language SupervisionWorld models → Video-generation world models and simulators
  4. What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
  5. Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural NetworksKnowledge distillation → General knowledge distillation methods
  6. Heterogeneous Objectives: State-of-the-Art and Future Research
  7. Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network
  8. Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques
  9. Between Post-Flaneur and Smartphone Zombie Smartphone Users Altering Visual Attention and Walking Behavior in Public Space
  10. If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
  11. Neural Code Summarization
  12. GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
  13. CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays
  14. Recursive Training for Zero-Shot Semantic Segmentation
  15. Flexible Model Aggregation for Quantile Regression
  16. Secure Evaluation of Knowledge Graph Merging Gain
  17. Noisy Truncated SGD: Optimization and Generalization
  18. CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
  19. Knowledge-aware Zero-Shot Learning: Survey and Perspective
  20. Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction
  21. Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
  22. Local Clustering in Contextual Multi-Armed Bandits
  23. Constructing Dampened LTI Systems Generating Polynomial Bases
  24. Practical and Private (Deep) Learning without Sampling or Shuffling
  25. Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
  26. TEC: Tensor Ensemble Classifier for Big Data
  27. On the Generalization of Stochastic Gradient Descent with Momentum
  28. On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
  29. Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
  30. Convolution-Free Medical Image Segmentation using Transformers
  31. Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
  32. Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
  33. NOMU: Neural Optimization-based Model Uncertainty
  34. Active Selection of Classification Features
  35. Using Deep Learning to Automate the Detection of Flaws in Nuclear Fuel Channel UT Scans
  36. Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion
  37. Learning Prediction Intervals for Regression: Generalization and Calibration
  38. A Meta-embedding-based Ensemble Approach for ICD Coding Prediction
  39. Towards Robust and Reliable Algorithmic Recourse
  40. ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
  41. Federated Edge Learning with Misaligned Over-The-Air Computation
  42. Distribution-Aware Testing of Neural Networks Using Generative Models
  43. Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding
  44. 3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
  45. Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding
  46. Sparsity in long-time control of neural ODEs
  47. Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
  48. Improving ENIGMA-Style Clause Selection While Learning From History
  49. Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
  50. The NPU System for the 2020 Personalized Voice Trigger Challenge
  51. Gradient-guided Loss Masking for Neural Machine Translation
  52. Nested-block self-attention for robust radiotherapy planning segmentation
  53. Experiments with Rich Regime Training for Deep Learning
  54. Texture-aware Video Frame Interpolation
  55. PredDiff: Explanations and Interactions from Conditional Expectations
  56. History-Augmented Collaborative Filtering for Financial Recommendations
  57. ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation
  58. Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation
  59. A Regret Minimization Approach to Iterative Learning Control
  60. Methods for the Design and Evaluation of HCI+NLP Systems
  61. Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
  62. FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
  63. Safe Distributional Reinforcement Learning
  64. Accurate Visual-Inertial SLAM by Feature Re-identification
  65. Robust Rational Polynomial Camera Modelling for SAR and Pushbroom Imaging
  66. Iterative SE(3)-Transformers
  67. Moreau-Yosida f-divergences
  68. Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
  69. Panoramic annular SLAM with loop closure and global optimization
  70. Underwater Acoustic Communication Receiver Using Deep Belief Network
  71. Multi-task transfer learning for finding actionable information from crisis-related messages on social media
  72. Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning
  73. Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
  74. Zoetrope Genetic Programming for Regression
  75. Why did the distribution change?
  76. Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
  77. A novel notion of barycenter for probability distributions based on optimal weak mass transport
  78. Where to look at the movies : Analyzing visual attention to understand movie editing
  79. Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain
  80. Information algebras in the theory of imprecise probabilities
  81. A Universal Model for Cross Modality Mapping by Relational Reasoning
  82. Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features
  83. Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
  84. MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
  85. Neural Generalization of Multiple Kernel Learning
  86. Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
  87. Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis
  88. Mitigating Domain Mismatch in Face Recognition Using Style Matching
  89. Zero-Shot Learning Based on Knowledge Sharing
  90. Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification
  91. Domain Adapting Ability of Self-Supervised Learning for Face Recognition
  92. Continuous Face Aging Generative Adversarial Networks
  93. Efficient Client Contribution Evaluation for Horizontal Federated Learning
  94. Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach
  95. Graph-based Semi-supervised Learning: A Comprehensive Review
  96. Variation Control and Evaluation for Generative SlateRecommendations
  97. Multi-Agent Path Planning based on MPC and DDPG
  98. MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
  99. sJIVE: Supervised Joint and Individual Variation Explained
  100. Spectral Top-Down Recovery of Latent Tree Models
All 116
  1. Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
  2. Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf
  3. Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
  4. DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
  5. LazyTensor: combining eager execution with domain-specific compilers
  6. Occupation Kernel Hilbert Spaces for Fractional Order Liouville Operators and Dynamic Mode Decomposition
  7. Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
  8. Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
  9. Boundary-induced and scene-aggregated network for monocular depth prediction
  10. Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems
  11. Tensors Fitting Perfectly
  12. Chess as a Testbed for Language Model State Tracking
  13. DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
  14. Cyclic Coordinate Dual Averaging with Extrapolation
  15. Swift for TensorFlow: A portable, flexible platform for deep learning
  16. Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles