mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 12 Jan 2022

94 papers

  1. How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasetsLLM reasoning → Reasoning benchmarks and evaluation
  2. Brain Structural Saliency Over The Ages
  3. NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records with Deep Learning and Natural Language Processing
  4. Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model
  5. Exploring COVID-19 Related Stressors Using Topic Modeling
  6. Biochemical Space Language in Relation to Multiset Rewriting Systems
  7. PyHHMM: A Python Library for Heterogeneous Hidden Markov Models
  8. There is a Singularity in the Loss Landscape
  9. Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
  10. Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme
  11. Study of Frequency domain exponential functional link network filters
  12. Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021
  13. Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents
  14. Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
  15. Planning in Observable POMDPs in Quasipolynomial Time
  16. Adversarially Robust Classification by Conditional Generative Model Inversion
  17. Local2Global: A distributed approach for scaling representation learning on graphs
  18. Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents
  19. Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending
  20. Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network
  21. Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction
  22. Detection of brain tumors using machine learning algorithms
  23. The Recurrent Reinforcement Learning Crypto Agent
  24. BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
  25. When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
  26. UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning
  27. How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
  28. On neural network kernels and the storage capacity problem
  29. Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning
  30. Revelation of Task Difficulty in AI-aided Education
  31. The Concept of Criticality in AI Safety
  32. Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance Imaging Brain Scans and Patient Characteristics
  33. Generative time series models using Neural ODE in Variational Autoencoders
  34. Virtual Elastic Objects
  35. SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
  36. Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
  37. GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules
  38. Fine-grained Graph Learning for Multi-view Subspace Clustering
  39. Deep Symbolic Regression for Recurrent Sequences
  40. MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators
  41. ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
  42. Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data
  43. On generalization bounds for deep networks based on loss surface implicit regularization
  44. Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case
  45. Structure and position-aware graph neural network for airway labeling
  46. Exact learning and test theory
  47. Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees
  48. SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
  49. Smoothness and continuity of cost functionals for ECG mismatch computation
  50. Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation
  51. Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
  52. DPCL: a Language Template for Normative Specifications
  53. Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions
  54. Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap
  55. Blackbox Post-Processing for Multiclass Fairness
  56. Diagnosing BERT with Retrieval Heuristics
  57. SLISEMAP: Supervised dimensionality reduction through local explanations
  58. Biaffine Discourse Dependency Parsing
  59. Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
  60. Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases
  61. Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
  62. Beyond the Visible: A Survey on Cross-spectral Face Recognition
  63. Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization
  64. Differentiating Geographic Movement Described in Text Documents
  65. Detecting Ransomware Execution in a Timely Manner
  66. Topic Modeling on Podcast Short-Text Metadata
  67. Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning
  68. GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers
  69. MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
  70. RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
  71. Towards Adversarially Robust Deep Image Denoising
  72. OCSampler: Compressing Videos to One Clip with Single-step Sampling
  73. Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion
  74. Predicting Alzheimer's Disease Using 3DMgNet
  75. Preventing Manifold Intrusion with Locality: Local Mixup
  76. SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
  77. Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
  78. Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature
  79. Video Intelligence as a component of a Global Security system
  80. An Efficient and Adaptive Granular-ball Generation Method in Classification Problem
  81. MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm
  82. PromptBERT: Improving BERT Sentence Embeddings with Prompts
  83. Neural Residual Flow Fields for Efficient Video Representations
  84. Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution
  85. On the Statistical Complexity of Sample Amplification
  86. Robust Contrastive Learning against Noisy Views
  87. De-Noising of Photoacoustic Microscopy Images by Deep Learning
  88. Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
  89. Predicting Terrorist Attacks in the United States using Localized News Data
  90. Multiview Transformers for Video Recognition
  91. Evolutionary Action Selection for Gradient-based Policy Learning
  92. Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments
  93. PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics
  94. Safe Equilibrium