mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 29 Jan 2022

82 papers

  1. ApolloRL: a Reinforcement Learning Platform for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  2. MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  3. Robust Imitation Learning from Corrupted DemonstrationsOffline RL and imitation learning from data → Imitation learning methods
  4. AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  5. Approaches to Artificial General Intelligence: An Analysis
  6. Research on Patch Attentive Neural Process
  7. Information Extraction through AI techniques: The KIDs use case at CONSOB
  8. Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity
  9. Blind ECG Restoration by Operational Cycle-GANs
  10. Maximum Batch Frobenius Norm for Multi-Domain Text Classification
  11. On Polynomial Approximation of Activation Function
  12. BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding
  13. Rank List Sensitivity of Recommender Systems to Interaction Perturbations
  14. A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
  15. Geometry- and Accuracy-Preserving Random Forest Proximities
  16. Understanding Deep Contrastive Learning via Coordinate-wise Optimization
  17. A Stochastic Bundle Method for Interpolating Networks
  18. Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
  19. Rewiring with Positional Encodings for Graph Neural Networks
  20. SMGRL: Scalable Multi-resolution Graph Representation Learning
  21. Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity
  22. Challenges and approaches to privacy preserving post-click conversion prediction
  23. A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets
  24. Fair ranking: a critical review, challenges, and future directions
  25. Learning Intuitive Policies Using Action Features
  26. Prediction of terephthalic acid (TPA) yield in aqueous hydrolysis of polyethylene terephthalate (PET)
  27. Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
  28. Error Scaling Laws for Kernel Classification under Source and Capacity Conditions
  29. Transfer Learning for Estimation of Pendubot Angular Position Using Deep Neural Networks
  30. Private Boosted Decision Trees via Smooth Re-Weighting
  31. Self Semi Supervised Neural Architecture Search for Semantic Segmentation
  32. Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels
  33. Towards Robust Deep Active Learning for Scientific Computing
  34. Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors
  35. ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence Tomography
  36. Hand Gesture Recognition of Dumb Person Using one Against All Neural Network
  37. Learning Stochastic Graph Neural Networks with Constrained Variance
  38. Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
  39. DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
  40. Semantic-assisted image compression
  41. Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
  42. FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
  43. LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
  44. Convolutional Filtering in Simplicial Complexes
  45. Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)
  46. Scale-arbitrary Invertible Image Downscaling
  47. AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation
  48. Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
  49. Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes
  50. Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
  51. The KFIoU Loss for Rotated Object Detection
  52. A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis
  53. Progressive Continual Learning for Spoken Keyword Spotting
  54. Fast Differentiable Matrix Square Root and Inverse Square Root
  55. Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
  56. Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
  57. Light field Rectification based on relative pose estimation
  58. Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks
  59. SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning
  60. Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
  61. Spherical Convolution empowered FoV Prediction in 360-degree Video Multicast with Limited FoV Feedback
  62. Continual Learning with Recursive Gradient Optimization
  63. Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems
  64. Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
  65. Composing a surrogate observation operator for sequential data assimilation
  66. 2D+3D facial expression recognition via embedded tensor manifold regularization
  67. Unsupervised Multi-Granularity Summarization
  68. Does Transliteration Help Multilingual Language Modeling?
  69. Reconstruction of Power Lines from Point Clouds
  70. Investigating Why Contrastive Learning Benefits Robustness Against Label Noise
  71. A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem
  72. A Context-Integrated Transformer-Based Neural Network for Auction Design
  73. Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions
  74. Counterfactual Plans under Distributional Ambiguity
  75. Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability
  76. Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures
  77. An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation
  78. Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
  79. ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise
  80. Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
  81. Flashlight: Enabling Innovation in Tools for Machine Learning
  82. Explaining Reinforcement Learning Policies through Counterfactual Trajectories