mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 7 Feb 2021

83 papers

  1. ScalingNet: extracting features from raw EEG data for emotion recognition
  2. An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction
  3. Word frequency-rank relationship in tagged texts
  4. Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity
  5. Determinantal consensus clustering
  6. Additive Feature Hashing
  7. Iconographic Image Captioning for Artworks
  8. Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
  9. Latent Map Gaussian Processes for Mixed Variable Metamodeling
  10. Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
  11. Lower Bounds and Accelerated Algorithms for Bilevel Optimization
  12. Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve
  13. Sparsely ensembled convolutional neural network classifiers via reinforcement learning
  14. Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching
  15. Meta-Learning with Neural Tangent Kernels
  16. Causal versions of Maximum Entropy and Principle of Insufficient Reason
  17. Nystr"omformer: A Nystr"om-Based Algorithm for Approximating Self-Attention
  18. AttributeNet: Attribute Enhanced Vehicle Re-Identification
  19. Self-supervised driven consistency training for annotation efficient histopathology image analysis
  20. Consequences of Misaligned AI
  21. Functional optimal transport: map estimation and domain adaptation for functional data
  22. RaSE: A Variable Screening Framework via Random Subspace Ensembles
  23. Machine Learning Methods for Histopathological Image Analysis: A Review
  24. OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution
  25. Few-shot time series segmentation using prototype-defined infinite hidden Markov models
  26. Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews
  27. Mimetic Neural Networks: A unified framework for Protein Design and Folding
  28. Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
  29. A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems
  30. "Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups
  31. Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
  32. U-vectors: Generating clusterable speaker embedding from unlabeled data
  33. Model-Augmented Q-learning
  34. Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
  35. Damage detection using in-domain and cross-domain transfer learning
  36. A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
  37. Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
  38. Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
  39. Effective and Scalable Clustering on Massive Attributed Graphs
  40. Neural Termination Analysis
  41. Bandits for Learning to Explain from Explanations
  42. MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
  43. Lazy OCO: Online Convex Optimization on a Switching Budget
  44. Dimension Free Generalization Bounds for Non Linear Metric Learning
  45. Online Limited Memory Neural-Linear Bandits with Likelihood Matching
  46. Unsupervised Sentence-embeddings by Manifold Approximation and Projection
  47. A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle
  48. Tilting the playing field: Dynamical loss functions for machine learning
  49. EMA2S: An End-to-End Multimodal Articulatory-to-Speech System
  50. Robust Explanations for Private Support Vector Machines
  51. Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
  52. Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL)
  53. EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
  54. Hyperparameter Optimization with Differentiable Metafeatures
  55. SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
  56. MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
  57. Tactical Optimism and Pessimism for Deep Reinforcement Learning
  58. Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
  59. Non-stationary Online Learning with Memory and Non-stochastic Control
  60. CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
  61. PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
  62. DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds
  63. Bacteriophage classification for assembled contigs using Graph Convolutional Network
  64. A Bayesian nonparametric approach to count-min sketch under power-law data streams
  65. Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
  66. Ensemble perspective for understanding temporal credit assignment
  67. Infinite-channel deep stable convolutional neural networks
  68. Regret Minimization in Heavy-Tailed Bandits
  69. Representation Learning for Natural Language Processing
  70. Adversarial Imaging Pipelines
  71. Adversarial example generation with AdaBelief Optimizer and Crop Invariance
  72. I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling
  73. Object Removal Attacks on LiDAR-based 3D Object Detectors
  74. State-Aware Variational Thompson Sampling for Deep Q-Networks
  75. An Analysis of Frame-skipping in Reinforcement Learning
  76. Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
  77. SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
  78. Exploratory Data Analysis for Airline Disruption Management
  79. HGAN: Hybrid Generative Adversarial Network
  80. Classification based on Topological Data Analysis
  81. A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
  82. What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
  83. WiSleep: Inferring Sleep Duration at Scale Using Passive WiFi Sensing