mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 31 Jul 2022

67 papers

  1. Robot Policy Learning from Demonstration Using Advantage Weighting and Early TerminationOffline RL and imitation learning from data → Offline RL algorithms
  2. Augmenting Vision Language Pretraining by Learning Codebook with Visual SemanticsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  3. One for All: One-stage Referring Expression Comprehension with Dynamic ReasoningLLM reasoning → Multimodal reasoning
  4. Chinese grammatical error correction based on knowledge distillationKnowledge distillation → Knowledge distillation for LLMs
  5. Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model
  6. AI in Telemedicine: An Appraisal on Deep Learning-Based Approaches to Virtual Diagnostic Solutions (VDS)
  7. Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse
  8. Cross-Modal Alignment Learning of Vision-Language Conceptual Systems
  9. Analysis of Semi-Supervised Methods for Facial Expression Recognition
  10. DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
  11. Is current research on adversarial robustness addressing the right problem?
  12. Learning to generate Reliable Broadcast Algorithms
  13. CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning
  14. Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
  15. Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages
  16. Deep Active Learning with Budget Annotation
  17. Formal guarantees for heuristic optimization algorithms used in machine learning
  18. DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
  19. Scrutinizing Shipment Records To Thwart Illegal Timber Trade
  20. One Object at a Time: Accurate and Robust Structure From Motion for Robots
  21. Repairing EL Ontologies Using Weakening and Completing
  22. Adaptive Edge Offloading for Image Classification Under Rate Limit
  23. Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
  24. The impact of Twitter on political influence on the choice of a running mate: Social Network Analysis and Semantic Analysis -- A Review
  25. Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
  26. COCOA: Cross Modality Contrastive Learning for Sensor Data
  27. Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shift
  28. Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages
  29. Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
  30. INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples
  31. One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
  32. Parameter-Parallel Distributed Variational Quantum Algorithm
  33. SdAE: Self-distillated Masked Autoencoder
  34. Out-of-Distribution Detection with Semantic Mismatch under Masking
  35. BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework
  36. Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
  37. Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition
  38. The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles
  39. Robust Real-World Image Super-Resolution against Adversarial Attacks
  40. Unitary Approximate Message Passing for Matrix Factorization
  41. DA2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping
  42. Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
  43. Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization
  44. Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data
  45. FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation
  46. Neural Knowledge Bank for Pretrained Transformers
  47. STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving
  48. PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation
  49. An Experimental Study on Learning Correlated Equilibrium in Routing Games
  50. Robotic Dough Shaping
  51. Evaluating Table Structure Recognition: A New Perspective
  52. DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN
  53. Less is More: Consistent Video Depth Estimation with Masked Frames Modeling
  54. Using Chatbots to Teach Languages
  55. Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
  56. Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services
  57. Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
  58. Neural Correlates of Face Familiarity Perception
  59. What Do Deep Neural Networks Find in Disordered Structures of Glasses?
  60. Improving Distantly Supervised Relation Extraction by Natural Language Inference
  61. Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures
  62. Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
  63. Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
  64. CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks
  65. Convex duality for stochastic shortest path problems in known and unknown environments
  66. PASTA: A Dataset for Modeling Participant States in Narratives
  67. enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks