mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 4 Mar 2021

137 papers

  1. Remember What You Want to Forget: Algorithms for Machine UnlearningLLM safety and security → Machine unlearning
  2. Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation GapOffline RL and imitation learning from data → Imitation learning methods
  3. Defending Medical Image Diagnostics against Privacy Attacks using Generative MethodsLLM safety and security → Membership inference attacks
  4. On the privacy-utility trade-off in differentially private hierarchical text classificationLLM safety and security → Membership inference attacks
  5. Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation FrameworkKnowledge distillation → Graph neural network distillation
  6. Inverse Reinforcement Learning with Explicit Policy EstimatesOffline RL and imitation learning from data → Inverse reinforcement learning
  7. Transfer learning from High-Resource to Low-Resource Language Improves Speech Affect Recognition Classification Accuracy
  8. Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
  9. NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
  10. The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
  11. Neural Network-based Quantization for Network Automation
  12. Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes
  13. Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
  14. PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain
  15. Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
  16. Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food
  17. Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
  18. WaveGuard: Understanding and Mitigating Audio Adversarial Examples
  19. Revisiting Priority k-Center: Fairness and Outliers
  20. A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
  21. Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
  22. Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis
  23. Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples
  24. Distribution-free uncertainty quantification for classification under label shift
  25. On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
  26. Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos
  27. Conservative Optimistic Policy Optimization via Multiple Importance Sampling
  28. Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs
  29. Ensembles of Random SHAPs
  30. PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction
  31. CLAIMED, a visual and scalable component library for Trusted AI
  32. A Deep Learning Approach to Mapping Irrigation: IrrMapper-U-Net
  33. Better SGD using Second-order Momentum
  34. Anycost GANs for Interactive Image Synthesis and Editing
  35. Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
  36. Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
  37. Clustering multilayer graphs with missing nodes
  38. An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
  39. DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
  40. Barlow Twins: Self-Supervised Learning via Redundancy Reduction
  41. One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
  42. A Comparative Evaluation of Quantification Methods
  43. GenoML: Automated Machine Learning for Genomics
  44. Continuous Coordination As a Realistic Scenario for Lifelong Learning
  45. Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
  46. Perceiver: General Perception with Iterative Attention
  47. Generalization Bounds for Sparse Random Feature Expansions
  48. Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression
  49. Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
  50. Small Sample Spaces for Gaussian Processes
  51. Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
  52. A Structural Causal Model for MR Images of Multiple Sclerosis
  53. SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
  54. Error-driven Fixed-Budget ASR Personalization for Accented Speakers
  55. Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
  56. Advances in Multi-turn Dialogue Comprehension: A Survey
  57. Universal Representation for Code
  58. Self-supervised Geometric Perception
  59. An empirical analysis of phrase-based and neural machine translation
  60. ILoSA: Interactive Learning of Stiffness and Attractors
  61. A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
  62. Memory-Efficient Network for Large-scale Video Compressive Sensing
  63. Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
  64. Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform
  65. Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
  66. TPCN: Temporal Point Cloud Networks for Motion Forecasting
  67. Model-based image adjustment for a successful pansharpening
  68. BM3D vs 2-Layer ONN
  69. Sub-pixel face landmarks using heatmaps and a bag of tricks
  70. Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling
  71. Self-supervised deep convolutional neural network for chest X-ray classification
  72. A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music
  73. Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
  74. PointGuard: Provably Robust 3D Point Cloud Classification
  75. Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects
  76. A Survey on Graph Structure Learning: Progress and Opportunities
  77. Modeling Multi-Label Action Dependencies for Temporal Action Localization
  78. CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
  79. Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
  80. The Transformer Network for the Traveling Salesman Problem
  81. Perceptual Image Restoration with High-Quality Priori and Degradation Learning
  82. SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
  83. MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
  84. Optical Flow Estimation from a Single Motion-blurred Image
  85. Learning-based Adaptive Control using Contraction Theory
  86. Motion-blurred Video Interpolation and Extrapolation
  87. Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
  88. Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks
  89. Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
  90. Serverless Data Science -- Are We There Yet? A Case Study of Model Serving
  91. Toward Robust Long Range Policy Transfer
  92. The Dota 2 Bot Competition
  93. Exploring the representativeness of the M5 competition data
  94. Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
  95. Visual Question Answering: which investigated applications?
  96. QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
  97. Calibrated simplex-mapping classification
  98. MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper
  99. Quantifying identifiability to choose and audit ε in differentially private deep learning
  100. Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
All 137
  1. Coordinate Attention for Efficient Mobile Network Design
  2. Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
  3. Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
  4. Lower-Bounded Proper Losses for Weakly Supervised Classification
  5. Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-pruned Sign-symmetric Feedback Alignment
  6. Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
  7. A Cross Channel Context Model for Latents in Deep Image Compression
  8. Bad and good errors: value-weighted skill scores in deep ensemble learning
  9. An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary
  10. An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
  11. Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
  12. IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
  13. Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
  14. Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
  15. Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
  16. Data Augmentation for Object Detection via Differentiable Neural Rendering
  17. MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy
  18. Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
  19. Learning With Context Feedback Loop for Robust Medical Image Segmentation
  20. Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
  21. A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image
  22. STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation
  23. On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
  24. Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
  25. PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers
  26. Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
  27. When Face Recognition Meets Occlusion: A New Benchmark
  28. Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing
  29. Learning the Next Best View for 3D Point Clouds via Topological Features
  30. Learning Granularity-Aware Convolutional Neural Network for Fine-Grained Visual Classification
  31. Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
  32. Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
  33. DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
  34. SVMax: A Feature Embedding Regularizer
  35. Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
  36. Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
  37. PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds