mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 28 Jul 2022

137 papers

  1. Graph Inverse Reinforcement Learning from Diverse VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
  2. Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution GeneralisationLLM reasoning → Reasoning benchmarks and evaluation
  3. SDBERT: SparseDistilBERT, a faster and smaller BERT model
  4. Unit Testing for Concepts in Neural Networks
  5. Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory
  6. Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
  7. Skeleton-free Pose Transfer for Stylized 3D Characters
  8. Self-supervised learning with rotation-invariant kernels
  9. A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features
  10. Verification system based on long-range iris and Graph Siamese Neural Networks
  11. RangL: A Reinforcement Learning Competition Platform
  12. HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees
  13. A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)
  14. Using Graph Neural Networks for Program Termination
  15. Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data
  16. Deep learning for understanding multilabel imbalanced Chest X-ray datasets
  17. Sequential Models in the Synthetic Data Vault
  18. Interactive Evaluation of Dialog Track at DSTC9
  19. Low Cost Embedded Vision System For Location And Tracking Of A Color Object
  20. LAD: Language Models as Data for Zero-Shot Dialog
  21. A Deep Generative Approach to Oversampling in Ptychography
  22. Distributed Stochastic Bandit Learning with Delayed Context Observation
  23. Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance
  24. Efficient NLP Model Finetuning via Multistage Data Filtering
  25. Large Language Models and the Reverse Turing Test
  26. Pro-tuning: Unified Prompt Tuning for Vision Tasks
  27. Latent Properties of Lifelong Learning Systems
  28. Expanding the class of global objective functions for dissimilarity-based hierarchical clustering
  29. Eye Gaze Estimation Model Analysis
  30. Model selection with Gini indices under auto-calibration
  31. Few-shot News Recommendation via Cross-lingual Transfer
  32. An Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching
  33. Semi-supervised Learning of Partial Differential Operators and Dynamical Flows
  34. Topological structure of complex predictions
  35. Multiple Attribute Fairness: Application to Fraud Detection
  36. Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing
  37. Training a universal instance segmentation network for live cell images of various cell types and imaging modalities
  38. Aztec curve: proposal for a new space-filling curve
  39. Self-Supervised Hypergraph Transformer for Recommender Systems
  40. Data centers with quantum random access memory and quantum networks
  41. SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
  42. Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
  43. Learning Personalized Representations using Graph Convolutional Network
  44. Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
  45. Initialization and Alignment for Adversarial Texture Optimization
  46. Rewriting Geometric Rules of a GAN
  47. Depth Field Networks for Generalizable Multi-view Scene Representation
  48. HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
  49. The One Where They Reconstructed 3D Humans and Environments in TV Shows
  50. CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
  51. MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud
  52. Cryptographic Hardness of Learning Halfspaces with Massart Noise
  53. Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash
  54. Efficient Training of Language Models to Fill in the Middle
  55. Improving the Performance of Robust Control through Event-Triggered Learning
  56. Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
  57. Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification
  58. Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
  59. Physics-informed neural networks for diffraction tomography
  60. Visual Recognition by Request
  61. Electricity Price Forecasting Model based on Gated Recurrent Units
  62. Humans disagree with the IoU for measuring object detector localization error
  63. A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
  64. Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation
  65. Regret Minimization and Convergence to Equilibria in General-sum Markov Games
  66. DoRO: Disambiguation of referred object for embodied agents
  67. Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
  68. CrAM: A Compression-Aware Minimizer
  69. Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection
  70. Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
  71. Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments
  72. Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems
  73. Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
  74. Content-oriented learned image compression
  75. RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid Attention Mechanisms for Pavement Crack Segmentation
  76. A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections
  77. Playing a 2D Game Indefinitely using NEAT and Reinforcement Learning
  78. Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity
  79. A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation
  80. Learning unseen coexisting attractors
  81. FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
  82. Graph Neural Networks to Predict Sports Outcomes
  83. A Survey of Syntactic Modelling Structures in Biomedical Ontologies
  84. Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
  85. Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers
  86. MarkerMap: nonlinear marker selection for single-cell studies
  87. Towards Large-Scale Small Object Detection: Survey and Benchmarks
  88. Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
  89. CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation
  90. Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
  91. Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows -- An Experimental Study
  92. PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations
  93. Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
  94. Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
  95. Separable Quaternion Matrix Factorization for Polarization Images
  96. Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems
  97. Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
  98. Automated Classification of Nanoparticles with Various Ultrastructures and Sizes
  99. Online Inference for Mixture Model of Streaming Graph Signals with Non-White Excitation
  100. Unsupervised Frequent Pattern Mining for CEP
All 137
  1. Video Mask Transfiner for High-Quality Video Instance Segmentation
  2. Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits
  3. Sequence to sequence pretraining for a less-resourced Slovenian language
  4. ClaSP -- Parameter-free Time Series Segmentation
  5. Knowing Where and What: Unified Word Block Pretraining for Document Understanding
  6. Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities
  7. On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
  8. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
  9. Meta-Learning based Degradation Representation for Blind Super-Resolution
  10. Neural Architecture Search on Efficient Transformers and Beyond
  11. An Interpretability Evaluation Benchmark for Pre-trained Language Models
  12. MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base
  13. HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative
  14. Persona-Knowledge Dialogue Multi-Context Retrieval and Enhanced Decoding Methods
  15. A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
  16. A health telemonitoring platform based on data integration from different sources
  17. Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning
  18. Why Accuracy Is Not Enough: The Need for Consistency in Object Detection
  19. Adaptive Second Order Coresets for Data-efficient Machine Learning
  20. SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image
  21. Real Image Restoration via Structure-preserving Complementarity Attention
  22. p-Adic Statistical Field Theory and Deep Belief Networks
  23. A Repulsive Force Unit for Garment Collision Handling in Neural Networks
  24. Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network
  25. Generative Steganography Network
  26. MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery
  27. Diversity Boosted Learning for Domain Generalization with Large Number of Domains
  28. DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
  29. Measuring Difficulty of Novelty Reaction
  30. Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
  31. ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
  32. Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio
  33. EEG2Mel: Reconstructing Sound from Brain Responses to Music
  34. Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations
  35. Dive into Machine Learning Algorithms for Influenza Virus Host Prediction with Hemagglutinin Sequences
  36. Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
  37. Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables