mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 30 Dec 2021

83 papers

  1. MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Confidence-Aware Multi-Teacher Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  3. Automatic Mixed-Precision Quantization Search of BERTKnowledge distillation → Knowledge distillation for LLMs
  4. Machine Learning and Artificial Intelligence in Next-Generation Wireless Network
  5. Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals
  6. Semantic Communications: Principles and Challenges
  7. Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands
  8. Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
  9. Runway Extraction and Improved Mapping from Space Imagery
  10. Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
  11. SAE: Sequential Anchored Ensembles
  12. An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
  13. Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI
  14. A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
  15. Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
  16. A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches
  17. Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
  18. Learning Agent State Online with Recurrent Generate-and-Test
  19. Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
  20. Persformer: A Transformer Architecture for Topological Machine Learning
  21. Visual and Object Geo-localization: A Comprehensive Survey
  22. Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
  23. Towards Robustness of Neural Networks
  24. A Resolution Enhancement Plug-in for Deformable Registration of Medical Images
  25. Chatbot for fitness management using IBM Watson
  26. Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation
  27. From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions
  28. Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
  29. Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
  30. Utilizing Wordnets for Cognate Detection among Indian Languages
  31. On the Role of Neural Collapse in Transfer Learning
  32. Aim in Climate Change and City Pollution
  33. Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
  34. Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning
  35. Colour alignment for relative colour constancy via non-standard references
  36. KIND: an Italian Multi-Domain Dataset for Named Entity Recognition
  37. A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program
  38. Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems
  39. Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
  40. Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators
  41. Causal Attention for Interpretable and Generalizable Graph Classification
  42. ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer
  43. Feature Extraction, Classification and Prediction for Hand Hygiene Gestures with KNN Algorithm
  44. Pose Estimation of Specific Rigid Objects
  45. Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability
  46. Digital Rock Typing DRT Algorithm Formulation with Optimal Supervised Semantic Segmentation
  47. TextRGNN: Residual Graph Neural Networks for Text Classification
  48. Does QA-based intermediate training help fine-tuning language models for text classification?
  49. YACLC: A Chinese Learner Corpus with Multidimensional Annotation
  50. Dimensionality reduction for prediction: Application to Bitcoin and Ethereum
  51. Self Reward Design with Fine-grained Interpretability
  52. Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach
  53. Two Instances of Interpretable Neural Network for Universal Approximations
  54. Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates
  55. Continually Learning Self-Supervised Representations with Projected Functional Regularization
  56. Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification
  57. Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
  58. Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
  59. Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
  60. Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
  61. Soundness in Object-centric Workflow Petri Nets
  62. THE Benchmark: Transferable Representation Learning for Monocular Height Estimation
  63. Exploring the pattern of Emotion in children with ASD as an early biomarker through Recurring-Convolution Neural Network (R-CNN)
  64. Contrastive Learning of Semantic and Visual Representations for Text Tracking
  65. Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
  66. A Novel Generator with Auxiliary Branch for Improving GAN Performance
  67. Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function
  68. A General Traffic Shaping Protocol in E-Commerce
  69. Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
  70. SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences
  71. RheFrameDetect: A Text Classification System for Automatic Detection of Rhetorical Frames in AI from Open Sources
  72. Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
  73. Retrieving Black-box Optimal Images from External Databases
  74. A Survey of Deep Learning Techniques for Dynamic Branch Prediction
  75. Motif Graph Neural Network
  76. Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
  77. Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates
  78. QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
  79. Few-shot Backdoor Defense Using Shapley Estimation
  80. A Unified and Constructive Framework for the Universality of Neural Networks
  81. Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size
  82. Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
  83. The SAMME.C2 algorithm for severely imbalanced multi-class classification