mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 10 Aug 2022

114 papers

  1. High-Frequency Space Diffusion Models for Accelerated MRIDiffusion models → Medical imaging and segmentation
  2. CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningLLM reasoning → Multimodal reasoning
  3. Convergence of denoising diffusion models under the manifold hypothesisDiffusion models → Diffusion foundations and sampling
  4. Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in RadiologyMultimodal LLMs / vision-language models → Medical vision-language models
  5. Weak Supervision in Analysis of News: Application to Economic Policy Uncertainty
  6. 2060: Civilization, Energy, and Progression of Mankind on the Kardashev Scale
  7. Towards Daily High-resolution Inundation Observations using Deep Learning and EO
  8. Frequency propagation: Multi-mechanism learning in nonlinear physical networks
  9. CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition
  10. PatchDropout: Economizing Vision Transformers Using Patch Dropout
  11. Determining HEDP Foams' Quality with Multi-View Deep Learning Classification
  12. Can Brain Signals Reveal Inner Alignment with Human Languages?
  13. Trustworthy Recommender Systems
  14. Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation
  15. Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
  16. Aesthetic Visual Question Answering of Photographs
  17. Semantic Self-adaptation: Enhancing Generalization with a Single Sample
  18. Neural Mesh-Based Graphics
  19. Comparison and Analysis of New Curriculum Criteria for End-to-End ASR
  20. Path-aware Siamese Graph Neural Network for Link Prediction
  21. Neural Networks for Scalar Input and Functional Output
  22. KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
  23. Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery
  24. Patching open-vocabulary models by interpolating weights
  25. Reducing Retraining by Recycling Parameter-Efficient Prompts
  26. The emergence of division of labor through decentralized social sanctioning
  27. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving
  28. SSDBCODI: Semi-Supervised Density-Based Clustering with Outliers Detection Integrated
  29. Towards Automating Retinoscopy for Refractive Error Diagnosis
  30. The Moral Foundations Reddit Corpus
  31. Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms
  32. Semi-supervised segmentation of tooth from 3D Scanned Dental Arches
  33. Adaptive LASSO estimation for functional hidden dynamic geostatistical model
  34. Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
  35. Imbalance Trouble: Revisiting Neural-Collapse Geometry
  36. Neural Embedding: Learning the Embedding of the Manifold of Physics Data
  37. Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables
  38. Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation
  39. Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network
  40. EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
  41. The Analysis about Building Cross-lingual Sememe Knowledge Base Based on Deep Clustering Network
  42. Robust Methods for High-Dimensional Linear Learning
  43. CoditT5: Pretraining for Source Code and Natural Language Editing
  44. Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech
  45. Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores
  46. Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming
  47. Differentiable Inference of Temporal Logic Formulas
  48. Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services
  49. Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
  50. Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations
  51. Active Sampling of Multiple Sources for Sequential Estimation
  52. Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
  53. Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion
  54. A Sublinear Adversarial Training Algorithm
  55. A Quantum Natural Language Processing Approach to Pronoun Resolution
  56. ATLAS: Universal Function Approximator for Memory Retention
  57. Paraphrasing, textual entailment, and semantic similarity above word level
  58. Multi-task Active Learning for Pre-trained Transformer-based Models
  59. Exploring Anchor-based Detection for Ego4D Natural Language Query
  60. E Pluribus Unum Interpretable Convolutional Neural Networks
  61. A Monitoring and Discovery Approach for Declarative Processes Based on Streams
  62. Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium
  63. Towards Cross-speaker Reading Style Transfer on Audiobook Dataset
  64. MD-Net: Multi-Detector for Local Feature Extraction
  65. Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning
  66. Mappings for Marginal Probabilities with Applications to Models in Statistical Physics
  67. Generative Action Description Prompts for Skeleton-based Action Recognition
  68. Proceedings End-to-End Compositional Models of Vector-Based Semantics
  69. Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation
  70. Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images
  71. Adaptive Learning Rates for Faster Stochastic Gradient Methods
  72. Explaining Machine Learning DGA Detectors from DNS Traffic Data
  73. TSInterpret: A unified framework for time series interpretability
  74. Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
  75. Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
  76. A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach
  77. Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
  78. Multi-scale Feature Aggregation for Crowd Counting
  79. Consistency-based Self-supervised Learning for Temporal Anomaly Localization
  80. Learning Degradation Representations for Image Deblurring
  81. CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation
  82. Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
  83. Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy
  84. Multi-View Pre-Trained Model for Code Vulnerability Identification
  85. How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
  86. Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction
  87. Capturing Dependencies within Machine Learning via a Formal Process Model
  88. Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
  89. Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer
  90. Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System
  91. A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process
  92. A Detection Method of Temporally Operated Videos Using Robust Hashing
  93. Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System with Convolutional Neural Networks
  94. Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation
  95. Learning Quantization in LDPC Decoders
  96. FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
  97. Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
  98. Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search
  99. TagRec++: Hierarchical Label Aware Attention Network for Question Categorization
  100. Machine Learning-based EEG Applications and Markets
All 114
  1. Fast Heterogeneous Federated Learning with Hybrid Client Selection
  2. Robust Reinforcement Learning using Offline Data
  3. D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
  4. Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction
  5. NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
  6. Ghost-free High Dynamic Range Imaging with Context-aware Transformer
  7. Research on restaurant recommendation using machine learning
  8. Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance
  9. Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
  10. Machine Learning with DBOS
  11. KL-divergence Based Deep Learning for Discrete Time Model
  12. Using Adaptive Experiments to Rapidly Help Students
  13. Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits
  14. Reducing Exploitability with Population Based Training