mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 12 Nov 2021

117 papers

  1. Learning Interpretation with Explainable Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  2. DriverGym: Democratising Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  3. Savile Row Manual
  4. A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
  5. Glass-box model representation of seismic failure mode prediction for conventional RC shear walls
  6. Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
  7. PySINDy: A comprehensive Python package for robust sparse system identification
  8. A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
  9. Explaining medical AI performance disparities across sites with confounder Shapley value analysis
  10. Learning Online for Unified Segmentation and Tracking Models
  11. Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
  12. Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer
  13. GraSSNet: Graph Soft Sensing Neural Networks
  14. Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
  15. RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
  16. Scalable Diverse Model Selection for Accessible Transfer Learning
  17. Exploiting All Samples in Low-Resource Sentence Classification: Early Stopping and Initialization Parameters
  18. Adversarially Robust Learning for Security-Constrained Optimal Power Flow
  19. Through-Foliage Tracking with Airborne Optical Sectioning
  20. Computational Argumentation and Cognition
  21. Human irrationality: both bad and good for reward inference
  22. Predictive coding, precision and natural gradients
  23. Contrastive Feature Loss for Image Prediction
  24. Hierarchical Bayesian Bandits
  25. Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing
  26. Action2video: Generating Videos of Human 3D Actions
  27. A Simple and Fast Baseline for Tuning Large XGBoost Models
  28. Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
  29. Visual Intelligence through Human Interaction
  30. Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data
  31. Improving Experience Replay through Modeling of Similar Transitions' Sets
  32. MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed
  33. Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification
  34. Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
  35. Multimodal Virtual Point 3D Detection
  36. Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control
  37. Sampling from high-dimensional, multimodal distributions using automatically tuned, tempered Hamiltonian Monte Carlo
  38. Hierarchical Clustering: New Bounds and Objective
  39. Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
  40. Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
  41. Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
  42. A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps
  43. The self-supervised spectral-spatial attention-based transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
  44. Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
  45. Speeding Up Entmax
  46. Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
  47. NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset
  48. Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent -- an Open Problem
  49. Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705
  50. Dynamic treatment effects: high-dimensional inference under model misspecification
  51. Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
  52. ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects
  53. Catastrophe, Compounding & Consistency in Choice
  54. Two steps to risk sensitivity
  55. Benchmarking deep generative models for diverse antibody sequence design
  56. Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR
  57. BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation
  58. A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
  59. Can neural networks predict dynamics they have never seen?
  60. Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity
  61. AWD3: Dynamic Reduction of the Estimation Bias
  62. Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation
  63. Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data
  64. Explainability and the Fourth AI Revolution
  65. Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
  66. Multiway Storage Modification Machines
  67. Monte Carlo dropout increases model repeatability
  68. STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
  69. Simplifying approach to Node Classification in Graph Neural Networks
  70. Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
  71. Neural Motion Planning for Autonomous Parking
  72. One model Packs Thousands of Items with Recurrent Conditional Query Learning
  73. Mobility prediction Based on Machine Learning Algorithms
  74. Causal Multi-Agent Reinforcement Learning: Review and Open Problems
  75. On Transferability of Prompt Tuning for Natural Language Processing
  76. Transformer-based Image Compression
  77. Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2
  78. BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
  79. DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
  80. Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
  81. deepstruct -- linking deep learning and graph theory
  82. AlphaRotate: A Rotation Detection Benchmark using TensorFlow
  83. A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
  84. Robust Analytics for Video-Based Gait Biometrics
  85. Understanding the Information Needs and Practices of Human Supporters of an Online Mental Health Intervention to Inform Machine Learning Applications
  86. Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
  87. A comprehensive study of clustering a class of 2D shapes
  88. Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values
  89. Frequency learning for structured CNN filters with Gaussian fractional derivatives
  90. Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
  91. Variation and generality in encoding of syntactic anomaly information in sentence embeddings
  92. Fully Automatic Page Turning on Real Scores
  93. Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
  94. Meta-Teacher For Face Anti-Spoofing
  95. Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
  96. Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
  97. A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal
  98. Collaboration Promotes Group Resilience in Multi-Agent RL
  99. PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages
  100. Using Deep Learning Sequence Models to Identify SARS-CoV-2 Divergence
All 117
  1. Implicit vs Unfolded Graph Neural Networks
  2. AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution
  3. Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
  4. On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
  5. Differential privacy and robust statistics in high dimensions
  6. Self-supervised GAN Detector
  7. A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints
  8. Bi-Discriminator Class-Conditional Tabular GAN
  9. Approximating Optimal Transport via Low-rank and Sparse Factorization
  10. Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
  11. Nonlinear Tensor Ring Network
  12. Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
  13. Distributed Sparse Regression via Penalization
  14. A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection
  15. An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix
  16. Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos
  17. RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation