mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 20 Feb 2022

62 papers

  1. ExAIS: Executable AI SemanticsLLM reasoning → Reasoning benchmarks and evaluation
  2. Cross-Task Knowledge Distillation in Multi-Task RecommendationKnowledge distillation → Distillation for recommender systems
  3. Pseudo Numerical Methods for Diffusion Models on ManifoldsDiffusion models → Diffusion foundations and sampling
  4. Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance
  5. Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks
  6. A framework for spatial heat risk assessment using a generalized similarity measure
  7. Deconstructing Distributions: A Pointwise Framework of Learning
  8. Conflict-Based Search for Explainable Multi-Agent Path Finding
  9. Mining Robust Default Configurations for Resource-constrained AutoML
  10. Disentangling Autoencoders (DAE)
  11. Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy
  12. SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
  13. SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models
  14. Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
  15. Equivariant Graph Attention Networks for Molecular Property Prediction
  16. Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression
  17. Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
  18. On Optimal Early Stopping: Over-informative versus Under-informative Parametrization
  19. Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
  20. NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks
  21. Interacting Contour Stochastic Gradient Langevin Dynamics
  22. Cooperative Artificial Intelligence
  23. Non-Deterministic Face Mask Removal Based On 3D Priors
  24. ChemTab: A Physics Guided Chemistry Modeling Framework
  25. A Novel Framework for Brain Tumor Detection Based on Convolutional Variational Generative Models
  26. Personalized Federated Learning with Exact Stochastic Gradient Descent
  27. Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
  28. Automated Reasoning in Non-classical Logics in the TPTP World
  29. Dissecting graph measure performance for node clustering in LFR parameter space
  30. Continual Learning Beyond a Single Model
  31. Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning
  32. Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
  33. Alternative design of DeepPDNet in the context of image restoration
  34. Learning logic programs by discovering where not to search
  35. Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
  36. Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
  37. Hierarchical Interpretation of Neural Text Classification
  38. Contextual Semantic Embeddings for Ontology Subsumption Prediction
  39. Clustering by the Probability Distributions from Extreme Value Theory
  40. An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification
  41. Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  42. Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach
  43. Dynamic Spatial Propagation Network for Depth Completion
  44. Finite-Time Analysis of Natural Actor-Critic for POMDPs
  45. Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation
  46. RDP-Net: Region Detail Preserving Network for Change Detection
  47. Visual Attention Network
  48. The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement
  49. Overparametrization improves robustness against adversarial attacks: A replication study
  50. Graph-based Extractive Explainer for Recommendations
  51. It's Raw! Audio Generation with State-Space Models
  52. Bayes-Optimal Classifiers under Group Fairness
  53. PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning
  54. 3DRM:Pair-wise relation module for 3D object detection
  55. Understanding Robust Generalization in Learning Regular Languages
  56. Towards a Unified Approach to Homography Estimation Using Image Features and Pixel Intensities
  57. ARM3D: Attention-based relation module for indoor 3D object detection
  58. A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics
  59. Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images
  60. MANet: Improving Video Denoising with a Multi-Alignment Network
  61. A History of Meta-gradient: Gradient Methods for Meta-learning
  62. Selective Credit Assignment