mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 27 Feb 2021

82 papers

  1. Reducing Conservativeness Oriented Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Semi-supervised Learning for COVID-19 Image Classification via ResNet
  3. A New K means Grey Wolf Algorithm for Engineering Problems
  4. Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19
  5. Tree of Knowledge: an Online Platform for Learning the Behaviour of Complex Systems
  6. Cognitive Homeostatic Agents
  7. Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces
  8. Online Behavioral Analysis with Application to Emotion State Identification
  9. SUM: A Benchmark Dataset of Semantic Urban Meshes
  10. High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
  11. End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
  12. Constrained Differentially Private Federated Learning for Low-bandwidth Devices
  13. Transformers with Competitive Ensembles of Independent Mechanisms
  14. BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
  15. Silent versus modal multi-speaker speech recognition from ultrasound and video
  16. CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem
  17. Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning
  18. Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming
  19. Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors
  20. Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation
  21. Automatic evaluation of human oocyte developmental potential from microscopy images
  22. Spline parameterization of neural network controls for deep learning
  23. Primal-Dual Stochastic Mirror Descent for MDPs
  24. N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
  25. A Novel Adaptive Deep Network for Building Footprint Segmentation
  26. On the Initialization for Convex-Concave Min-max Problems
  27. PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
  28. Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
  29. A Brief Introduction to Generative Models
  30. Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories
  31. Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
  32. Expert Decision Support System for aeroacoustic source type identification using clustering
  33. DeepBLE: Generalizing RSSI-based Localization Across Different Devices
  34. Effective Universal Unrestricted Adversarial Attacks using a MOE Approach
  35. Searching for Robustness: Loss Learning for Noisy Classification Tasks
  36. A Survey on Stance Detection for Mis- and Disinformation Identification
  37. Improved Automated Machine Learning from Transfer Learning
  38. Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks
  39. Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
  40. Learning with Smooth Hinge Losses
  41. EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
  42. Neuron Coverage-Guided Domain Generalization
  43. Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges
  44. Variational Laplace for Bayesian neural networks
  45. RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
  46. Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
  47. Countering Malicious DeepFakes: Survey, Battleground, and Horizon
  48. ProbLP: A framework for low-precision probabilistic inference
  49. Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention
  50. Remote Sensing Image Change Detection with Transformers
  51. Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
  52. Siamese Labels Auxiliary Learning
  53. COVID-19 Tweets Analysis through Transformer Language Models
  54. FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
  55. Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
  56. Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report
  57. Incorporating Domain Knowledge into Deep Neural Networks
  58. A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications
  59. Inferring Unobserved Events in Systems With Shared Resources and Queues
  60. Lifelong Learning based Disease Diagnosis on Clinical Notes
  61. FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
  62. Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go
  63. Scalable federated machine learning with FEDn
  64. Statistical Measures For Defining Curriculum Scoring Function
  65. Pedestrian Motion State Estimation From 2D Pose
  66. Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
  67. Open-set Intersection Intention Prediction for Autonomous Driving
  68. Scalable Causal Domain Adaptation
  69. Meta-Learning with Graph Neural Networks: Methods and Applications
  70. Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation
  71. PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
  72. Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
  73. NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
  74. GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
  75. Successive Subspace Learning: An Overview
  76. ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
  77. Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  78. Transformer in Transformer
  79. Graph Self-Supervised Learning: A Survey
  80. Improving Longer-range Dialogue State Tracking
  81. Revisiting Peng's Q(λ) for Modern Reinforcement Learning
  82. The Age of Correlated Features in Supervised Learning based Forecasting