mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 26 Dec 2021

42 papers

  1. Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  2. Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal DerivativesDiffusion models → Diffusion foundations and sampling
  3. Towards Fair Recommendation in Two-Sided Platforms
  4. Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
  5. K-Core Decomposition on Super Large Graphs with Limited Resources
  6. Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management
  7. Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
  8. Time Series Data Mining Algorithms Towards Scalable and Real-Time Behavior Monitoring
  9. PreDisM: Pre-Disaster Modelling With CNN Ensembles for At-Risk Communities
  10. Acoustic scene classification using auditory datasets
  11. A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
  12. Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
  13. New Methods & Metrics for LFQA tasks
  14. ArT: All-round Thinker for Unsupervised Commonsense Question-Answering
  15. Neuro-Symbolic Hierarchical Rule Induction
  16. Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings
  17. Reinforcement Learning with Dynamic Convex Risk Measures
  18. Generative Kernel Continual learning
  19. Perlin Noise Improve Adversarial Robustness
  20. Abstractions of General Reinforcement Learning
  21. Long Story Short: Omitted Variable Bias in Causal Machine Learning
  22. The brain as a probabilistic transducer: an evolutionarily plausible network architecture for knowledge representation, computation, and behavior
  23. Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions
  24. Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges
  25. FRuDA: Framework for Distributed Adversarial Domain Adaptation
  26. Delivery Issues Identification from Customer Feedback Data
  27. A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging
  28. AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms
  29. Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments
  30. An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
  31. Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition
  32. The Quantum Version of Prediction for Binary Classification Problem by Ensemble Methods
  33. AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform
  34. MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
  35. Continuous Offline Handwriting Recognition using Deep Learning Models
  36. Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
  37. Quantum Algorithm for the Shortest Superstring Problem
  38. Efficient Diversity-Driven Ensemble for Deep Neural Networks
  39. Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow
  40. Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
  41. Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression
  42. Unsupervised Clustering Active Learning for Person Re-identification