mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 15 Jun 2021

223 papers

  1. Scene Transformer: A unified architecture for predicting multiple agent trajectoriesWorld models → World models for autonomous driving
  2. Causal Navigation by Continuous-time Neural NetworksOffline RL and imitation learning from data → Imitation learning methods
  3. On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and FinetuningOffline RL and imitation learning from data → Offline RL algorithms
  4. Detect and remove watermark in deep neural networks via generative adversarial networksLLM safety and security → Watermarking generated content and models
  5. An Analytical Theory of Curriculum Learning in Teacher-Student NetworksKnowledge distillation → General knowledge distillation methods
  6. Residual Reinforcement Learning from DemonstrationsOffline RL and imitation learning from data → Real-world robot offline RL
  7. Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  8. Teacher-Student MixIT for Unsupervised and Semi-supervised Speech SeparationKnowledge distillation → Speech and audio distillation
  9. Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment
  10. Emotions in Macroeconomic News and their Impact on the European Bond Market
  11. Black Box Probabilistic Numerics
  12. rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer
  13. Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
  14. Classification of Documents Extracted from Images with Optical Character Recognition Methods
  15. An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
  16. CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
  17. Machine Learning for Postprocessing Ensemble Streamflow Forecasts
  18. STAN: A stuttering therapy analysis helper
  19. Author Clustering and Topic Estimation for Short Texts
  20. ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
  21. Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits
  22. Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)
  23. Development of Quantized DNN Library for Exact Hardware Emulation
  24. Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
  25. Generative Conversational Networks
  26. Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
  27. Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty
  28. Circa: Stochastic ReLUs for Private Deep Learning
  29. RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
  30. Multi-Resolution Continuous Normalizing Flows
  31. Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
  32. Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks
  33. How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
  34. Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL
  35. Correlation Clustering in Constant Many Parallel Rounds
  36. Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations
  37. Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
  38. CODA: Constructivism Learning for Instance-Dependent Dropout Architecture Construction
  39. Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey
  40. Online Learning with Uncertain Feedback Graphs
  41. Pathological voice adaptation with autoencoder-based voice conversion
  42. COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives
  43. Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
  44. On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
  45. Robust Reinforcement Learning Under Minimax Regret for Green Security
  46. Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content
  47. Seeing Through Clouds in Satellite Images
  48. Learning-based Support Estimation in Sublinear Time
  49. Spoofing Generalization: When Can't You Trust Proprietary Models?
  50. Towards Adversarial Robustness via Transductive Learning
  51. TextStyleBrush: Transfer of Text Aesthetics from a Single Example
  52. Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
  53. A Framework for Evaluating Post Hoc Feature-Additive Explainers
  54. A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving
  55. Rinascimento: searching the behaviour space of Splendor
  56. What Context Features Can Transformer Language Models Use?
  57. Explaining decision of model from its prediction
  58. Test Sample Accuracy Scales with Training Sample Density in Neural Networks
  59. Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
  60. Adversarial Attacks on Deep Models for Financial Transaction Records
  61. Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis
  62. Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
  63. VidHarm: A Clip Based Dataset for Harmful Content Detection
  64. Dynamic Head: Unifying Object Detection Heads with Attentions
  65. Self-Supervised Learning with Kernel Dependence Maximization
  66. Gradient Forward-Propagation for Large-Scale Temporal Video Modelling
  67. Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data
  68. Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
  69. Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems
  70. Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
  71. Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
  72. StockBabble: A Conversational Financial Agent to support Stock Market Investors
  73. A White Paper on Neural Network Quantization
  74. Three-part diachronic semantic change dataset for Russian
  75. Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
  76. CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
  77. First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track
  78. Deep Reinforcement Learning for Conservation Decisions
  79. Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
  80. Multi-script Handwritten Digit Recognition Using Multi-task Learning
  81. Towards Total Recall in Industrial Anomaly Detection
  82. Physion: Evaluating Physical Prediction from Vision in Humans and Machines
  83. Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy
  84. BEiT: BERT Pre-Training of Image Transformers
  85. A Syntax-Guided Edit Decoder for Neural Program Repair
  86. Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction
  87. Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
  88. PairConnect: A Compute-Efficient MLP Alternative to Attention
  89. Consistency Regularization for Cross-Lingual Fine-Tuning
  90. RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests
  91. SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
  92. Graph-based Label Propagation for Semi-Supervised Speaker Identification
  93. Hypergraph Dissimilarity Measures
  94. Question Answering Infused Pre-training of General-Purpose Contextualized Representations
  95. Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation
  96. Thompson Sampling for Unimodal Bandits
  97. A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
  98. Kernel Identification Through Transformers
  99. Direction is what you need: Improving Word Embedding Compression in Large Language Models
  100. Automated triaging of head MRI examinations using convolutional neural networks
All 223
  1. Automatic linear measurements of the fetal brain on MRI with deep neural networks
  2. Evaluating Modules in Graph Contrastive Learning
  3. How Modular Should Neural Module Networks Be for Systematic Generalization?
  4. Query Embedding on Hyper-relational Knowledge Graphs
  5. Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
  6. Maximum Spanning Trees Are Invariant to Temperature Scaling in Graph-based Dependency Parsing
  7. Perceptually-inspired super-resolution of compressed videos
  8. Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery
  9. Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021
  10. Sequence-Level Training for Non-Autoregressive Neural Machine Translation
  11. Semantic Representation and Inference for NLP
  12. Contextualizing Meta-Learning via Learning to Decompose
  13. ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
  14. Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features
  15. Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning
  16. Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
  17. CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
  18. Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)
  19. Natural continual learning: success is a journey, not (just) a destination
  20. Computer-aided Interpretable Features for Leaf Image Classification
  21. Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
  22. Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
  23. SSMix: Saliency-Based Span Mixup for Text Classification
  24. Relation Modeling in Spatio-Temporal Action Localization
  25. Privacy Assessment of Federated Learning using Private Personalized Layers
  26. Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera
  27. Coupled Gradient Estimators for Discrete Latent Variables
  28. On the Power of Multitask Representation Learning in Linear MDP
  29. Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
  30. Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow
  31. Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking
  32. CausalNLP: A Practical Toolkit for Causal Inference with Text
  33. Hotel Recognition via Latent Image Embedding
  34. Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations
  35. The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing
  36. Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks
  37. Zero-shot Node Classification with Decomposed Graph Prototype Network
  38. A Clinically Inspired Approach for Melanoma classification
  39. Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
  40. Over-the-Air Decentralized Federated Learning
  41. Compositional Sketch Search
  42. Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
  43. Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
  44. SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent
  45. Adaptive Margin Circle Loss for Speaker Verification
  46. ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions
  47. Revisiting the Calibration of Modern Neural Networks
  48. Learning of feature points without additional supervision improves reinforcement learning from images
  49. Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering
  50. A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
  51. Compression Implies Generalization
  52. Learning Autonomy in Management of Wireless Random Networks
  53. Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
  54. Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
  55. Incorporating Word Sense Disambiguation in Neural Language Models
  56. Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder
  57. Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM
  58. On the Evaluation of Sequential Machine Learning for Network Intrusion Detection
  59. Zero-sample surface defect detection and classification based on semantic feedback neural network
  60. Cascading Convolutional Temporal Colour Constancy
  61. CatBoost model with synthetic features in application to loan risk assessment of small businesses
  62. Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation
  63. Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
  64. Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
  65. Modeling morphology with Linear Discriminative Learning: considerations and design choices
  66. BERT Embeddings for Automatic Readability Assessment
  67. Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention
  68. Language Tags Matter for Zero-Shot Neural Machine Translation
  69. Image Feature Information Extraction for Interest Point Detection: A Review
  70. ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
  71. Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
  72. Improving Search by Utilizing State Information in OPTIC Planners Compilation to LP
  73. An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates
  74. Diagnosing the Impact of AI on Radiology in China
  75. Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
  76. Control Variates for Slate Off-Policy Evaluation
  77. Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
  78. Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
  79. Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
  80. Non-Gradient Manifold Neural Network
  81. Probabilistic Margins for Instance Reweighting in Adversarial Training
  82. Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models
  83. ATD: Augmenting CP Tensor Decomposition by Self Supervision
  84. Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
  85. CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals
  86. S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks
  87. Towards Safe Control of Continuum Manipulator Using Shielded Multiagent Reinforcement Learning
  88. An enriched category theory of language: from syntax to semantics
  89. Credit Assignment in Neural Networks through Deep Feedback Control
  90. Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning
  91. Scaling Neural Tangent Kernels via Sketching and Random Features
  92. A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
  93. Learning Revenue-Maximizing Auctions With Differentiable Matching
  94. Vision-Language Navigation with Random Environmental Mixup
  95. S-LIME: Stabilized-LIME for Model Explanation
  96. Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
  97. Voting for the right answer: Adversarial defense for speaker verification
  98. Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks
  99. Domain Adaptive SiamRPN++ for Object Tracking in the Wild
  100. Keep CALM and Improve Visual Feature Attribution
  101. Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
  102. Bilateral Personalized Dialogue Generation with Contrastive Learning
  103. A Hybrid mmWave and Camera System for Long-Range Depth Imaging
  104. Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning
  105. G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification
  106. Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
  107. Code Integrity Attestation for PLCs using Black Box Neural Network Predictions
  108. Learning Stable Classifiers by Transferring Unstable Features
  109. Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
  110. Randomized Exploration for Reinforcement Learning with General Value Function Approximation
  111. Improved Regret Bounds for Online Submodular Maximization
  112. Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception
  113. Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
  114. On the Convergence and Calibration of Deep Learning with Differential Privacy
  115. Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems
  116. Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
  117. Communicating Natural Programs to Humans and Machines
  118. Challenges and Considerations with Code-Mixed NLP for Multilingual Societies
  119. Canonical Face Embeddings
  120. On Large-Cohort Training for Federated Learning
  121. Efficient Facial Expression Analysis For Dimensional Affect Recognition Using Geometric Features
  122. Tree-Values: selective inference for regression trees
  123. Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity