mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 19 Jan 2021

123 papers

  1. Choice Set Misspecification in Reward InferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  2. Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition
  3. Deep View Synthesis via Self-Consistent Generative Network
  4. Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics
  5. PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network
  6. Personalized Education in the AI Era: What to Expect Next?
  7. The Next Decade of Telecommunications Artificial Intelligence
  8. Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series
  9. AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
  10. An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
  11. On Provable Backdoor Defense in Collaborative Learning
  12. Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
  13. Improving type information inferred by decompilers with supervised machine learning
  14. Cross-domain few-shot learning with unlabelled data
  15. A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment
  16. Joint Learning of 3D Shape Retrieval and Deformation
  17. Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks
  18. Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
  19. SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks
  20. Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think
  21. Learning Abstract Task Representations
  22. DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks
  23. Scalable Optimization for Wind Farm Control using Coordination Graphs
  24. Implicit Bias of Linear RNNs
  25. The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
  26. Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
  27. Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
  28. Machine learning applications for COVID-19: A state-of-the-art review
  29. Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
  30. Minimax Off-Policy Evaluation for Multi-Armed Bandits
  31. Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks
  32. A System for Automated Open-Source Threat Intelligence Gathering and Management
  33. Cost-based feature selection for network model choice
  34. Quantum Permutation Synchronization
  35. Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology
  36. Information Theoretic Secure Aggregation with User Dropouts
  37. A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
  38. A survey on shape-constraint deep learning for medical image segmentation
  39. Hyperdimensional computing as a framework for systematic aggregation of image descriptors
  40. Deep Feedback Inverse Problem Solver
  41. Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network
  42. Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
  43. Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
  44. Image Denoising using Attention-Residual Convolutional Neural Networks
  45. Multi-target detection with rotations
  46. Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
  47. Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study
  48. GLocalX -- From Local to Global Explanations of Black Box AI Models
  49. Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions
  50. Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm
  51. An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa
  52. Edge-Featured Graph Attention Network
  53. A framework to compare music generative models using automatic evaluation metrics extended to rhythm
  54. Challenges for Computational Lexical Semantic Change
  55. Few-Shot Bayesian Optimization with Deep Kernel Surrogates
  56. Salient Object Detection via Integrity Learning
  57. The fiscal response to revenue shocks
  58. Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
  59. Situation and Behavior Understanding by Trope Detection on Films
  60. Trading Transforms of Non-weighted Simple Games and Integer Weights of Weighted Simple Games
  61. Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
  62. Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis
  63. A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
  64. Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
  65. Chronological Citation Recommendation with Time Preference
  66. Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly
  67. Interpretable Models for Granger Causality Using Self-explaining Neural Networks
  68. Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
  69. Analysis and tuning of hierarchical topic models based on Renyi entropy approach
  70. UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
  71. Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
  72. Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
  73. Continual Deterioration Prediction for Hospitalized COVID-19 Patients
  74. Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
  75. Learnable Embedding Sizes for Recommender Systems
  76. Collaboration among Image and Object Level Features for Image Colourisation
  77. An Improvement of Object Detection Performance using Multi-step Machine Learnings
  78. Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
  79. Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy
  80. Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
  81. Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
  82. JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
  83. Object Tracking by Detection with Visual and Motion Cues
  84. VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
  85. PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
  86. Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
  87. Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition
  88. The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
  89. Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
  90. DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training
  91. Mapping and Describing Geospatial Data to Generalize Complex Mapping and Describing Geospatial Data to Generalize Complex Models: The Case of LittoSIM-GEN Models
  92. BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
  93. Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
  94. Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
  95. Paraconsistent Foundations for Quantum Probability
  96. Disentangled Recurrent Wasserstein Autoencoder
  97. Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
  98. Unsupervised Deep Learning for Handwritten Page Segmentation
  99. Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles
  100. Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes
All 123
  1. Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
  2. Single versus Multiple Annotation for Named Entity Recognition of Mutations
  3. Fast Convergence of DETR with Spatially Modulated Co-Attention
  4. Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
  5. Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation
  6. COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
  7. Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
  8. Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
  9. Submodular Maximization via Taylor Series Approximation
  10. SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
  11. GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
  12. Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis
  13. ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces
  14. Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent
  15. Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
  16. Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
  17. Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference
  18. ArtEmis: Affective Language for Visual Art
  19. Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
  20. Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
  21. Autonomous synthesis of metastable materials
  22. A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application
  23. A Comparison of Question Rewriting Methods for Conversational Passage Retrieval