mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 13 Mar 2021

73 papers

  1. Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs
  2. A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm
  3. Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
  4. Text Mining of Stocktwits Data for Predicting Stock Prices
  5. Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach
  6. Anticipating synchronization with machine learning
  7. A Survey on Multimodal Disinformation Detection
  8. Simpson's Bias in NLP Training
  9. Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating
  10. OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
  11. Dynamically Switching Human Prediction Models for Efficient Planning
  12. Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
  13. CACTUS: Detecting and Resolving Conflicts in Objective Functions
  14. Hybrid computer approach to train a machine learning system
  15. ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
  16. Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
  17. A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
  18. A Methodology for Bi-Directional Knowledge-Based Assessment of Compliance to Continuous Application of Clinical Guidelines
  19. Treatment Effect Estimation using Invariant Risk Minimization
  20. Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
  21. Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles
  22. Online Double Oracle
  23. Recommending Short-lived Dynamic Packages for Golf Booking Services
  24. Problem-fluent models for complex decision-making in autonomous materials research
  25. ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
  26. VMAF And Variants: Towards A Unified VQA
  27. Automated Fact-Checking for Assisting Human Fact-Checkers
  28. Large-scale Recommendation for Portfolio Optimization
  29. Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
  30. Image Classifiers for Network Intrusions
  31. OkwuGb'e: End-to-End Speech Recognition for Fon and Igbo
  32. Learning Novel Objects Continually Through Curiosity
  33. Learning with Feature-Dependent Label Noise: A Progressive Approach
  34. Image Segmentation Methods for Non-destructive testing Applications
  35. Unsupervised Image Transformation Learning via Generative Adversarial Networks
  36. Reconsidering Representation Alignment for Multi-view Clustering
  37. ReDet: A Rotation-equivariant Detector for Aerial Object Detection
  38. Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
  39. Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
  40. Simeon -- Secure Federated Machine Learning Through Iterative Filtering
  41. NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras
  42. OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
  43. A review of machine learning in processing remote sensing data for mineral exploration
  44. uTHCD: A New Benchmarking for Tamil Handwritten OCR
  45. Efficient Sparse Artificial Neural Networks
  46. Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks
  47. Robust Model Compression Using Deep Hypotheses
  48. Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
  49. Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network
  50. PhotoApp: Photorealistic Appearance Editing of Head Portraits
  51. Optimal Embedding Calibration for Symbolic Music Similarity
  52. Improving Diversity of Neural Text Generation via Inverse Probability Weighting
  53. Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
  54. Generating Unrestricted Adversarial Examples via Three Parameters
  55. Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
  56. Attack as Defense: Characterizing Adversarial Examples using Robustness
  57. Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
  58. Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques
  59. Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
  60. RL-Controller: a reinforcement learning framework for active structural control
  61. An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
  62. Conceptual capacity and effective complexity of neural networks
  63. SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
  64. Untrained networks for compressive lensless photography
  65. Solving Compositional Reinforcement Learning Problems via Task Reduction
  66. Approximating How Single Head Attention Learns
  67. Student-Teacher Learning from Clean Inputs to Noisy Inputs
  68. Internal Wasserstein Distance for Adversarial Attack and Defense
  69. DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
  70. Learning Defense Transformers for Counterattacking Adversarial Examples
  71. Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization
  72. Revisiting ResNets: Improved Training and Scaling Strategies
  73. Efficient Randomized Subspace Embeddings for Distributed Optimization under a Communication Budget