mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 18 Dec 2021

65 papers

  1. Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Earthquake Nowcasting with Deep Learning
  3. Deeper Learning with CoLU Activation
  4. Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
  5. Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
  6. Improving Learning-to-Defer Algorithms Through Fine-Tuning
  7. GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework
  8. Supervised laser-speckle image sampling of skin tissue to detect very early stage of diabetes by its effects on skin subcellular properties
  9. Continual Learning with Knowledge Transfer for Sentiment Classification
  10. Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  11. Online Grounding of Symbolic Planning Domains in Unknown Environments
  12. Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
  13. Image Segmentation Using Text and Image Prompts
  14. Cross-Domain Federated Learning in Medical Imaging
  15. Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness
  16. Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading
  17. Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions
  18. Weisfeiler and Leman go Machine Learning: The Story so far
  19. FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows
  20. Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets
  21. Tell me what you see: A zero-shot action recognition method based on natural language descriptions
  22. 3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen
  23. Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
  24. Pre-Training Transformers for Domain Adaptation
  25. GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
  26. Rapid Face Mask Detection and Person Identification Model based on Deep Neural Networks
  27. Syntactic-GCN Bert based Chinese Event Extraction
  28. DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration
  29. DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
  30. Word Graph Guided Summarization for Radiology Findings
  31. The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus
  32. Fast and Robust Registration of Partially Overlapping Point Clouds
  33. Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks
  34. Learning to Model the Relationship Between Brain Structural and Functional Connectomes
  35. 3D Instance Segmentation of MVS Buildings
  36. Improving Subgraph Recognition with Variational Graph Information Bottleneck
  37. Does Explainable Machine Learning Uncover the Black Box in Vision Applications?
  38. Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows
  39. Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective
  40. Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
  41. Adversarial Memory Networks for Action Prediction
  42. An effective coaxiality measurement for twist drill based on line structured light sensor
  43. Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages
  44. Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
  45. Morpheme Boundary Detection & Grammatical Feature Prediction for Gujarati : Dataset & Model
  46. Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
  47. Deep Learning for Stability Analysis of a Freely Vibrating Sphere at Moderate Reynolds Number
  48. Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning
  49. LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
  50. Time-Aware Neighbor Sampling for Temporal Graph Networks
  51. Enhanced Object Detection in Floor-plan through Super Resolution
  52. Manifold embedding data-driven mechanics
  53. Assessing Post-editing Effort in the English-Hindi Direction
  54. Calorie Aware Automatic Meal Kit Generation from an Image
  55. Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning
  56. Improving the performance of bagging ensembles for data streams through mini-batching
  57. Face Deblurring Based on Separable Normalization and Adaptive Denormalization
  58. Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases
  59. Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs
  60. Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
  61. Multimeasurement Generative Models
  62. GPEX, A Framework For Interpreting Artificial Neural Networks
  63. Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
  64. Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
  65. A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods