mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 19 May 2021

132 papers

  1. VOILA: Visual-Observation-Only Imitation Learning for Autonomous NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  2. Retrieval-Augmented Transformer-XL for Close-Domain Dialog GenerationRetrieval-augmented generation → Conversational and speech RAG
  3. Generalizable Person Re-identification with Relevance-aware Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
  4. Single-Layer Vision Transformers for More Accurate Early Exits with Less OverheadEfficient LLM inference and serving → Early exit and edge inference
  5. Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  6. Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization
  7. Dynamic region proposal networks for semantic segmentation in automated glaucoma screening
  8. Correlated Input-Dependent Label Noise in Large-Scale Image Classification
  9. AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis
  10. End-to-End Unsupervised Document Image Blind Denoising
  11. L1 Regression with Lewis Weights Subsampling
  12. Stratified Data Integration
  13. Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
  14. Classifying concepts via visual properties
  15. DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
  16. iTelos -- Purpose Driven Knowledge Graph Generation
  17. Diversity in Kemeny Rank Aggregation: A Parameterized Approach
  18. Trilevel and Multilevel Optimization using Monotone Operator Theory
  19. Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine
  20. Unsupervised learning of text line segmentation by differentiating coarse patterns
  21. Computational Morphology with Neural Network Approaches
  22. Heterogeneous Contrastive Learning
  23. Separation of Powers in Federated Learning
  24. Birds of a Feather: Capturing Avian Shape Models from Images
  25. Balancing Robustness and Sensitivity using Feature Contrastive Learning
  26. Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
  27. Surprisingly Popular Voting Recovers Rankings, Surprisingly!
  28. Graph Sanitation with Application to Node Classification
  29. Guaranteeing Maximin Shares: Some Agents Left Behind
  30. Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes
  31. Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
  32. Endless Loops: Detecting and Animating Periodic Patterns in Still Images
  33. User-Level Label Leakage from Gradients in Federated Learning
  34. Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation
  35. Generative Adversarial Neural Architecture Search
  36. DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
  37. Online Selection of Diverse Committees
  38. Unsupervised Discriminative Learning of Sounds for Audio Event Classification
  39. DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality
  40. Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
  41. Analyzing Machine Learning Approaches for Online Malware Detection in Cloud
  42. Copyright in Generative Deep Learning
  43. Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning
  44. From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
  45. Learning Language Specific Sub-network for Multilingual Machine Translation
  46. Multiply Robust Causal Mediation Analysis with Continuous Treatments
  47. Image to Image Translation : Generating maps from satellite images
  48. Boosting Variational Inference With Locally Adaptive Step-Sizes
  49. Diffusion Approximations for Thompson Sampling in the Small Gap Regime
  50. Detection of Emotions in Hindi-English Code Mixed Text Data
  51. More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction
  52. Program Synthesis as Dependency Quantified Formula Modulo Theory
  53. Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
  54. Forecasting managerial turnover through e-mail based social network analysis
  55. Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
  56. A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
  57. High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
  58. Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
  59. PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
  60. Using four different online media sources to forecast the crude oil price
  61. Physical Constraint Embedded Neural Networks for inference and noise regulation
  62. Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment
  63. Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
  64. TableZa -- A classical Computer Vision approach to Tabular Extraction
  65. Periodic Freight Demand Estimation for Large-scale Tactical Planning
  66. XCycles Backprojection Acoustic Super-Resolution
  67. Robustness and stability of enterprise intranet social networks: The impact of moderators
  68. Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
  69. Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
  70. Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
  71. An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks
  72. Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
  73. Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data
  74. Recursive-NeRF: An Efficient and Dynamically Growing NeRF
  75. Aleatoric uncertainty for Errors-in-Variables models in deep regression
  76. Local Aggressive Adversarial Attacks on 3D Point Cloud
  77. Combining GCN and Transformer for Chinese Grammatical Error Detection
  78. Essay-BR: a Brazilian Corpus of Essays
  79. Accelerating Gossip SGD with Periodic Global Averaging
  80. Light-weight Document Image Cleanup using Perceptual Loss
  81. Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation
  82. Deep Learning Radio Frequency Signal Classification with Hybrid Images
  83. The State of AI Ethics Report (Volume 4)
  84. The State of AI Ethics Report (January 2021)
  85. Methods for Detoxification of Texts for the Russian Language
  86. Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
  87. Obstructing Classification via Projection
  88. Music Generation using Three-layered LSTM
  89. Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition
  90. Sentence Extraction-Based Machine Reading Comprehension for Vietnamese
  91. Guided Facial Skin Color Correction
  92. Attack on practical speaker verification system using universal adversarial perturbations
  93. E(n) Equivariant Normalizing Flows
  94. A Novel lightweight Convolutional Neural Network, ExquisiteNetV2
  95. QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
  96. When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics
  97. Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight
  98. TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation
  99. Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
  100. Prototype Guided Federated Learning of Visual Feature Representations
All 132
  1. Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement
  2. Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
  3. Latent Gaussian Model Boosting
  4. Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
  5. Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
  6. Compositional Processing Emerges in Neural Networks Solving Math Problems
  7. Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
  8. VSGM -- Enhance robot task understanding ability through visual semantic graph
  9. Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
  10. BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
  11. Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
  12. Complementary Structure-Learning Neural Networks for Relational Reasoning
  13. Large-scale Localization Datasets in Crowded Indoor Spaces
  14. Investigating Math Word Problems using Pretrained Multilingual Language Models
  15. Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care
  16. OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
  17. Multiple Meta-model Quantifying for Medical Visual Question Answering
  18. Multi-layer Perceptron Trainability Explained via Variability
  19. Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
  20. Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
  21. MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data
  22. A Sequence-to-Set Network for Nested Named Entity Recognition
  23. Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
  24. Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
  25. Font Style that Fits an Image -- Font Generation Based on Image Context
  26. Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering
  27. A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning
  28. Statistical Optimality and Computational Efficiency of Nystr"om Kernel PCA
  29. Incentivized Bandit Learning with Self-Reinforcing User Preferences
  30. AI and Ethics -- Operationalising Responsible AI
  31. Localization, Convexity, and Star Aggregation
  32. Learning optimally separated class-specific subspace representations using convolutional autoencoder