mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 23 Jan 2021

63 papers

  1. Autoregressive Belief Propagation for Decoding Block Codes
  2. Are Top School Students More Critical of Their Professors? Mining Comments on RateMyProfessor.com
  3. Predicting the Mechanical Properties of Biopolymer Gels Using Neural Networks Trained on Discrete Fiber Network Data
  4. B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows
  5. A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram
  6. Indoor Group Activity Recognition using Multi-Layered HMMs
  7. Arabic aspect based sentiment analysis using bidirectional GRU based models
  8. Learning degraded image classification with restoration data fidelity
  9. Optimistic and Adaptive Lagrangian Hedging
  10. Generating a Doppelganger Graph: Resembling but Distinct
  11. BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction
  12. On the Evolution of Word Order
  13. ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
  14. BF++: a language for general-purpose program synthesis
  15. S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
  16. A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
  17. Deep Learning for General Game Playing with Ludii and Polygames
  18. Network-Agnostic Knowledge Transfer for Medical Image Segmentation
  19. Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery
  20. Stochastic Image Denoising by Sampling from the Posterior Distribution
  21. Acceleration Methods
  22. Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
  23. Dictionary-based Debiasing of Pre-trained Word Embeddings
  24. Debiasing Pre-trained Contextualised Embeddings
  25. Unsupervised clustering of series using dynamic programming
  26. Short-term daily precipitation forecasting with seasonally-integrated autoencoder
  27. Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
  28. Disentangled Sequence Clustering for Human Intention Inference
  29. Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
  30. Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
  31. Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels
  32. MinConvNets: A new class of multiplication-less Neural Networks
  33. Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
  34. Neural Relational Inference with Efficient Message Passing Mechanisms
  35. Training Multilingual Pre-trained Language Model with Byte-level Subwords
  36. WebSRC: A Dataset for Web-Based Structural Reading Comprehension
  37. ARTH: Algorithm For Reading Text Handily -- An AI Aid for People having Word Processing Issues
  38. Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
  39. Feature Selection Using Reinforcement Learning
  40. Advances and Challenges in Conversational Recommender Systems: A Survey
  41. Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
  42. Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
  43. Error Diffusion Halftoning Against Adversarial Examples
  44. Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
  45. Unlabeled Principal Component Analysis and Matrix Completion
  46. An Optimal Reduction of TV-Denoising to Adaptive Online Learning
  47. Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization
  48. A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation
  49. Explainable Artificial Intelligence Approaches: A Survey
  50. Vertical federated learning based on DFP and BFGS
  51. Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation
  52. Analyzing Team Performance with Embeddings from Multiparty Dialogues
  53. Deep Anti-aliasing of Whole Focal Stack Using Slice Spectrum
  54. A Machine Learning Approach to Predicting Continuous Tie Strengths
  55. Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
  56. 4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
  57. Adaptively Sparse Regularization for Blind Image Restoration
  58. Next-best-view Regression using a 3D Convolutional Neural Network
  59. Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach
  60. Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera
  61. Learning Setup Policies: Reliable Transition Between Locomotion Behaviours
  62. Online Adversarial Purification based on Self-Supervision
  63. Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems