mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 8 Jan 2021

80 papers

  1. Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
  2. Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
  3. Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling
  4. Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
  5. Evolving Reinforcement Learning Algorithms
  6. A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules
  7. Spending Your Winning Lottery Better After Drawing It
  8. Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
  9. Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
  10. Bayesian U-Net for Segmenting Glaciers in SAR Imagery
  11. Glacier Calving Front Segmentation Using Attention U-Net
  12. End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
  13. Machine learning classification of non-Markovian noise disturbing quantum dynamics
  14. Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
  15. DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning
  16. Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls
  17. Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification
  18. Leveraging Multilingual Transformers for Hate Speech Detection
  19. Misspelling Correction with Pre-trained Contextual Language Model
  20. The Diabetic Buddy: A Diet Regulator andTracking System for Diabetics
  21. Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset
  22. Deep Diffusion Processes for Active Learning of Hyperspectral Images
  23. Sketching Merge Trees for Scientific Data Visualization
  24. Analysis of Evolutionary Program Synthesis for Card Games
  25. E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
  26. Slow manifolds in recurrent networks encode working memory efficiently and robustly
  27. Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification
  28. VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
  29. Heteroscedasticity-aware residuals-based contextual stochastic optimization
  30. Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
  31. Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances
  32. Learning non-Gaussian graphical models via Hessian scores and triangular transport
  33. Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
  34. Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks
  35. One-Class Classification: A Survey
  36. Knowledge AI: New Medical AI Solution for Medical image Diagnosis
  37. InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
  38. Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective
  39. Learning quantum data with the quantum Earth Mover's distance
  40. Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
  41. Multistage BiCross encoder for multilingual access to COVID-19 health information
  42. Residual networks classify inputs based on their neural transient dynamics
  43. A review for Tone-mapping Operators on Wide Dynamic Range Image
  44. On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds
  45. Differentially Private Federated Learning for Cancer Prediction
  46. Artificial Intelligence enabled Smart Learning
  47. Approaching Neural Network Uncertainty Realism
  48. Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures
  49. From Black-box to White-box: Examining Confidence Calibration under different Conditions
  50. Spatial Object Recommendation with Hints: When Spatial Granularity Matters
  51. Infinite-dimensional Folded-in-time Deep Neural Networks
  52. BN-invariant sharpness regularizes the training model to better generalization
  53. Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
  54. Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
  55. Accelerating Training of Batch Normalization: A Manifold Perspective
  56. Approximate Query Processing for Group-By Queries based on Conditional Generative Models
  57. NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
  58. Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance
  59. Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
  60. Sequential Naive Learning
  61. Predicting Semen Motility using three-dimensional Convolutional Neural Networks
  62. Octave Mix: Data augmentation using frequency decomposition for activity recognition
  63. Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
  64. HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
  65. Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data
  66. A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph
  67. A general framework for modeling and dynamic simulation of multibody systems using factor graphs
  68. ADiag: Graph Neural Network Based Diagnosis of Alzheimer's Disease
  69. Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
  70. Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm
  71. Dynamic Graph Collaborative Filtering
  72. Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
  73. Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
  74. Unsupervised Domain Adaptation of Black-Box Source Models
  75. Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
  76. A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness
  77. Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
  78. Long Horizon Forecasting With Temporal Point Processes
  79. Average-Reward Off-Policy Policy Evaluation with Function Approximation
  80. Single Image Super-Resolution