mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 1 Jun 2021

220 papers

  1. Diffusion Schr"odinger Bridge with Applications to Score-Based Generative ModelingDiffusion models → Diffusion foundations and sampling
  2. What Matters for Adversarial Imitation Learning?Offline RL and imitation learning from data → Imitation learning methods
  3. Markpainting: Adversarial Machine Learning meets InpaintingLLM safety and security → Watermarking generated content and models
  4. Natural Statistics of Network Activations and Implications for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  5. A unified PAC-Bayesian framework for machine unlearning via information risk minimizationLLM safety and security → Machine unlearning
  6. Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity RecognitionKnowledge distillation → Knowledge distillation for LLMs
  7. Fast symplectic integrator for Nesterov-type acceleration method
  8. Neural Network Structure Design based on N-Gauss Activation Function
  9. Dataset for eye-tracking tasks
  10. THG: Transformer with Hyperbolic Geometry
  11. Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT
  12. Is it a click bait? Let's predict using Machine Learning
  13. FiSH: Fair Spatial Hotspots
  14. Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
  15. Raman spectral analysis of mixtures with one-dimensional convolutional neural network
  16. Asymmetrical Bi-RNN for pedestrian trajectory encoding
  17. AMV : Algorithm Metadata Vocabulary
  18. Network and Physical Layer Attacks and countermeasures to AI-Enabled 6G O-RAN
  19. Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
  20. Adversarially Adaptive Normalization for Single Domain Generalization
  21. Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera
  22. Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models
  23. On using distributed representations of source code for the detection of C security vulnerabilities
  24. A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
  25. Deep Clustering Activation Maps for Emphysema Subtyping
  26. Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals
  27. Claim Matching Beyond English to Scale Global Fact-Checking
  28. Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
  29. Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning
  30. Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
  31. Comparing Test Sets with Item Response Theory
  32. Algorithmic Insurance
  33. ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
  34. Refining the bounding volumes for lossless compression of voxelized point clouds geometry
  35. Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
  36. nnDetection: A Self-configuring Method for Medical Object Detection
  37. Cleaning and Structuring the Label Space of the iMet Collection 2020
  38. Some Ethical Issues in the Review Process of Machine Learning Conferences
  39. Invariant Policy Learning: A Causal Perspective
  40. Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
  41. QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
  42. What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
  43. CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
  44. Latent Space Refinement for Deep Generative Models
  45. DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation
  46. Statistical Mechanics of Neural Processing of Object Manifolds
  47. Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment
  48. The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
  49. Fourier Space Losses for Efficient Perceptual Image Super-Resolution
  50. On Finding the K-best Non-projective Dependency Trees
  51. Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
  52. Information Theoretic Measures for Fairness-aware Feature Selection
  53. Improving Compositionality of Neural Networks by Decoding Representations to Inputs
  54. Is good old GRAPPA dead?
  55. Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
  56. Higher-order Derivatives of Weighted Finite-state Machines
  57. On-Line Policy Iteration for Infinite Horizon Dynamic Programming
  58. Part of Speech and Universal Dependency effects on English Arabic Machine Translation
  59. ICDAR 2021 Competition on On-Line Signature Verification
  60. Implicit Representations of Meaning in Neural Language Models
  61. Large-Scale Wasserstein Gradient Flows
  62. Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics
  63. Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
  64. Evaluating Recipes Generated from Functional Object-Oriented Network
  65. Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations
  66. Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network
  67. Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
  68. An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
  69. Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
  70. Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
  71. Bootstrap Your Own Correspondences
  72. VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups
  73. Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
  74. What Can I Do Here? Learning New Skills by Imagining Visual Affordances
  75. Discovering Diverse Nearly Optimal Policies with Successor Features
  76. You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
  77. Validating GAN-BioBERT: A Methodology For Assessing Reporting Trends In Clinical Trials
  78. Reward is enough for convex MDPs
  79. The Impact of Network Connectivity on Collective Learning
  80. A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT
  81. Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition
  82. Asymptotics of representation learning in finite Bayesian neural networks
  83. Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks
  84. A survey of machine learning-based physics event generation
  85. SpanNER: Named Entity Re-/Recognition as Span Prediction
  86. Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
  87. Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks
  88. Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
  89. Robust Mutual Learning for Semi-supervised Semantic Segmentation
  90. Fair Clustering Using Antidote Data
  91. ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
  92. Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
  93. Semi-Supervised Domain Generalization with Stochastic StyleMatch
  94. NewsEmbed: Modeling News through Pre-trained Document Representations
  95. Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
  96. TransVOS: Video Object Segmentation with Transformers
  97. Exposing Previously Undetectable Faults in Deep Neural Networks
  98. Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes
  99. Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation
  100. Wireless Federated Learning with Limited Communication and Differential Privacy
All 220
  1. IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
  2. Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information
  3. Tensor decomposition for learning Gaussian mixtures from moments
  4. SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
  5. Efficient Explanations With Relevant Sets
  6. MalPhase: Fine-Grained Malware Detection Using Network Flow Data
  7. A Markov Reward Process-Based Approach to Spatial Interpolation
  8. Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
  9. Transformation Models for Flexible Posteriors in Variational Bayes
  10. Student Performance Prediction Using Dynamic Neural Models
  11. Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
  12. The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
  13. CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
  14. Towards Quantifiable Dialogue Coherence Evaluation
  15. A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
  16. Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
  17. Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees
  18. A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks
  19. Omnizart: A General Toolbox for Automatic Music Transcription
  20. RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network
  21. Logistic Regression Through the Veil of Imprecise Data
  22. Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects
  23. Dense Nested Attention Network for Infrared Small Target Detection
  24. DoT: An efficient Double Transformer for NLP tasks with tables
  25. Tight Accounting in the Shuffle Model of Differential Privacy
  26. Gaussian Processes with Differential Privacy
  27. SemEval-2021 Task 1: Lexical Complexity Prediction
  28. Detecting Anomalies in Semantic Segmentation with Prototypes
  29. A Clarification of the Nuances in the Fairness Metrics Landscape
  30. To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
  31. KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
  32. Instance Correction for Learning with Open-set Noisy Labels
  33. PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
  34. Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
  35. Minimax Regret for Bandit Convex Optimisation of Ridge Functions
  36. COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
  37. Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
  38. OpenBox: A Generalized Black-box Optimization Service
  39. Dialogue-oriented Pre-training
  40. Post-Contextual-Bandit Inference
  41. Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
  42. Nora: The Well-Being Coach
  43. Sub-Character Tokenization for Chinese Pretrained Language Models
  44. Improving Conditional Coverage via Orthogonal Quantile Regression
  45. Relational Reasoning Networks
  46. On the KLM properties of a fuzzy DL with Typicality
  47. Analysis of Vision-based Abnormal Red Blood Cell Classification
  48. Decision Concept Lattice vs. Decision Trees and Random Forests
  49. Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints
  50. DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
  51. Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images
  52. Markov Localisation using Heatmap Regression and Deep Convolutional Odometry
  53. Learning Football Body-Orientation as a Matter of Classification
  54. Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features
  55. Experiments with graph convolutional networks for solving the vertex p-center problem
  56. Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance
  57. Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
  58. An In-depth Study on Internal Structure of Chinese Words
  59. Consistent Two-Flow Network for Tele-Registration of Point Clouds
  60. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
  61. Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
  62. Distribution Matching for Rationalization
  63. Semi-Supervised Disparity Estimation with Deep Feature Reconstruction
  64. Data-Driven Shadowgraph Simulation of a 3D Object
  65. LenAtten: An Effective Length Controlling Unit For Text Summarization
  66. What's a good imputation to predict with missing values?
  67. Understanding peacefulness through the world news
  68. Independent Prototype Propagation for Zero-Shot Compositionality
  69. More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
  70. A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
  71. Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking
  72. On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  73. Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
  74. A mixed-frequency approach for exchange rates predictions
  75. AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
  76. H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
  77. Analysis of classifiers robust to noisy labels
  78. Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
  79. Did I do that? Blame as a means to identify controlled effects in reinforcement learning
  80. Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
  81. Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
  82. Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
  83. Neuron segmentation using 3D wavelet integrated encoder-decoder network
  84. Divide and Rule: Recurrent Partitioned Network for Dynamic Processes
  85. A Coarse to Fine Question Answering System based on Reinforcement Learning
  86. Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
  87. Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
  88. ViTA: Visual-Linguistic Translation by Aligning Object Tags
  89. Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning
  90. Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models
  91. Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble
  92. Improving Automatic Hate Speech Detection with Multiword Expression Features
  93. VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
  94. Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
  95. Concurrent Adversarial Learning for Large-Batch Training
  96. Question-aware Transformer Models for Consumer Health Question Summarization
  97. Discontinuous Named Entity Recognition as Maximal Clique Discovery
  98. A Voxel Graph CNN for Object Classification with Event Cameras
  99. Improving Formality Style Transfer with Context-Aware Rule Injection
  100. Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
  101. Hybrid Generative Models for Two-Dimensional Datasets
  102. Iterative Hierarchical Attention for Answering Complex Questions over Long Documents
  103. Gradient play in stochastic games: stationary points, convergence, and sample complexity
  104. Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021
  105. PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
  106. Towards Light-weight and Real-time Line Segment Detection
  107. Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
  108. Quantification of Carbon Sequestration in Urban Forests
  109. Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
  110. Dual Normalization Multitasking for Audio-Visual Sounding Object Localization
  111. Language-Driven Image Style Transfer
  112. Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach
  113. Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports
  114. Adaptive Conformal Inference Under Distribution Shift
  115. Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation
  116. Rethinking Pseudo Labels for Semi-Supervised Object Detection
  117. HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
  118. Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection
  119. A Road-map to Robot Task Execution with the Functional Object-Oriented Network
  120. Explanations for Monotonic Classifiers