mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 24 Dec 2022

65 papers

  1. Deep Latent State Space Models for Time-Series GenerationState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  2. T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student DistillationKnowledge distillation → Graph neural network distillation
  3. Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural NetworksLLM agents and tool use → Multimodal and embodied agents
  4. Kannudi -- A Reference Editor for Kannada
  5. Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition
  6. DiP: Learning Discriminative Implicit Parts for Person Re-Identification
  7. Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges
  8. Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
  9. Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems
  10. Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
  11. Understanding the Complexity Gains of Single-Task RL with a Curriculum
  12. Linguistic Elements of Engaging Customer Service Discourse on Social Media
  13. A Marker-based Neural Network System for Extracting Social Determinants of Health
  14. A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
  15. Towards Long-term Autonomy: A Perspective from Robot Learning
  16. Development of a Thermodynamics of Human Cognition and Human Culture
  17. GraphCast: Learning skillful medium-range global weather forecasting
  18. A Bayesian Robust Regression Method for Corrupted Data Reconstruction
  19. SHIRO: Soft Hierarchical Reinforcement Learning
  20. Unsupervised Instance and Subnetwork Selection for Network Data
  21. COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
  22. Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
  23. Agent-based Modeling and Simulation of Human Muscle For Development of Human Gait Analyzer Application
  24. An optimized fuzzy logic model for proactive maintenance
  25. GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration
  26. Energy Efficiency Maximization in IRS-Aided Cell-Free Massive MIMO System
  27. Automated Gadget Discovery in Science
  28. LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
  29. Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence
  30. An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
  31. DDH-QA: A Dynamic Digital Humans Quality Assessment Database
  32. Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation
  33. Frequency Regularization for Improving Adversarial Robustness
  34. Forecasting through deep learning and modal decomposition in two-phase concentric jets
  35. Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank
  36. Polarimetric Multi-View Inverse Rendering
  37. Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
  38. MURPHY: Relations Matter in Surgical Workflow Analysis
  39. Deep Reinforcement Learning for Heat Pump Control
  40. Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
  41. When Do Curricula Work in Federated Learning?
  42. Structure-Enhanced DRL for Optimal Transmission Scheduling
  43. Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices
  44. Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks
  45. Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms
  46. Iterative regularization in classification via hinge loss diagonal descent
  47. Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach
  48. Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text
  49. On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
  50. Differentiable Rendering for Pose Estimation in Proximity Operations
  51. Visualizing Information Bottleneck through Variational Inference
  52. Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation
  53. Risk assessment and mitigation of e-scooter crashes with naturalistic driving data
  54. Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning
  55. Hyperspherical Quantization: Toward Smaller and More Accurate Models
  56. STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
  57. Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
  58. Hyperspherical Loss-Aware Ternary Quantization
  59. HandsOff: Labeled Dataset Generation With No Additional Human Annotations
  60. Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting
  61. Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty
  62. Inclusive Artificial Intelligence
  63. A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension
  64. Concentration of the Langevin Algorithm's Stationary Distribution
  65. Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks