mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 23 Dec 2022

88 papers

  1. Your diffusion model secretly knows the dimension of the data manifoldDiffusion models → Diffusion foundations and sampling
  2. A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic InferenceLLM reasoning → Reasoning benchmarks and evaluation
  3. Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private InformationOffline RL and imitation learning from data → Offline RL algorithms
  4. Learning to Detect and Segment for Open Vocabulary Object DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  5. Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications
  6. Activity Detection for Grant-Free NOMA in Massive IoT Networks
  7. An extended method for Statistical Signal Characterization using moments and cumulants, as a fast and accurate pre-processing stage of simple ANNs applied to the recognition of pattern alterations in pulse-like waveforms
  8. Cross-Domain Shopping and Stock Trend Analysis
  9. Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods
  10. Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
  11. Cross-Domain Consumer Review Analysis
  12. xFBD: Focused Building Damage Dataset and Analysis
  13. SuperGF: Unifying Local and Global Features for Visual Localization
  14. Assessing thermal imagery integration into object detection methods on ground-based and air-based collection platforms
  15. A Novel SOC Estimation for Hybrid Energy Pack using Deep Learning
  16. A Convergence Rate for Manifold Neural Networks
  17. Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
  18. Neural Transition-based Parsing of Library Deprecations
  19. Continual Causal Abstractions
  20. Pearl Causal Hierarchy on Image Data: Intricacies & Challenges
  21. Adapting to game trees in zero-sum imperfect information games
  22. An active learning method for solving competitive multi-agent decision-making and control problems
  23. On How AI Needs to Change to Advance the Science of Drug Discovery
  24. A Close Look at Spatial Modeling: From Attention to Convolution
  25. Neural Networks beyond explainability: Selective inference for sequence motifs
  26. Mathematical Foundations for a Compositional Account of the Bayesian Brain
  27. Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
  28. An Exact Mapping From ReLU Networks to Spiking Neural Networks
  29. NARS vs. Reinforcement learning: ONA vs. Q-Learning
  30. MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning
  31. Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence
  32. Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
  33. Content Rating Classification for Fan Fiction
  34. Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
  35. Image Classification with Small Datasets: Overview and Benchmark
  36. Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
  37. Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
  38. Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
  39. HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction
  40. Benchmark for Uncertainty & Robustness in Self-Supervised Learning
  41. Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds
  42. Detecting Objects with Context-Likelihood Graphs and Graph Refinement
  43. Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
  44. Using MM principles to deal with incomplete data in K-means clustering
  45. Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360deg Omnidirectional Image
  46. Relational Local Explanations
  47. Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection
  48. Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
  49. The choice of scaling technique matters for classification performance
  50. Rule Learning by Modularity
  51. Linear features segmentation from aerial images
  52. Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
  53. FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
  54. Statistical Distance Based Deterministic Offspring Selection in SMC Methods
  55. Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms
  56. Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
  57. Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning
  58. Do DALL-E and Flamingo Understand Each Other?
  59. From Judgement's Premises Towards Key Points
  60. Fast Event-based Optical Flow Estimation by Triplet Matching
  61. Finetuning for Sarcasm Detection with a Pruned Dataset
  62. Investigation of reinforcement learning for shape optimization of profile extrusion dies
  63. Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
  64. EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
  65. CinPatent: Datasets for Patent Classification
  66. Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments
  67. Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal
  68. Stop using the elbow criterion for k-means and how to choose the number of clusters instead
  69. Implementation of a Blind navigation method in outdoors/indoors areas
  70. Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
  71. Graph Federated Learning with Hidden Representation Sharing
  72. PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image
  73. Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent
  74. The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
  75. Bengali Handwritten Digit Recognition using CNN with Explainable AI
  76. Human Activity Recognition in an Open World
  77. HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing
  78. Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing
  79. DAS: Neural Architecture Search via Distinguishing Activation Score
  80. Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?
  81. Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
  82. Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN
  83. Predicting Survival of Tongue Cancer Patients by Machine Learning Models
  84. Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
  85. Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints
  86. Security and Interpretability in Automotive Systems
  87. Anomaly Detection using Ensemble Classification and Evidence Theory
  88. Eigenvalue initialisation and regularisation for Koopman autoencoders