mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 19 Jan 2022

126 papers

  1. Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized IntersectionsEnd-to-end autonomous driving → Cooperative and V2X driving
  2. Improving Behavioural Cloning with Human-Driven Dynamic Dataset AugmentationOffline RL and imitation learning from data → Imitation learning methods
  3. Battle royale optimizer with a new movement strategy
  4. Artificial Intelligence Powered Material Search Engine
  5. Introduction to The Dynamic Pickup and Delivery Problem Benchmark -- ICAPS 2021 Competition
  6. Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark
  7. Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
  8. Roadmap for Cybersecurity in Autonomous Vehicles
  9. Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
  10. Reinforcement Learning Textbook
  11. A Review of Deep Transfer Learning and Recent Advancements
  12. Analyzing Multispectral Satellite Imagery of South American Wildfires Using Deep Learning
  13. An Ensemble Model for Face Liveness Detection
  14. Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers
  15. GAP-Gen: Guided Automatic Python Code Generation
  16. Towards Energy Efficient Distributed Federated Learning for 6G Networks
  17. Similarity search on neighbor's graphs with automatic Pareto optimal performance and minimum expected quality setups based on hyperparameter optimization
  18. PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications
  19. Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
  20. The Role of Facial Expressions and Emotion in ASL
  21. CPTAM: Constituency Parse Tree Aggregation Method
  22. Evaluating Machine Common Sense via Cloze Testing
  23. ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)
  24. Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
  25. PDE-Based Optimal Strategy for Unconstrained Online Learning
  26. Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech
  27. ROS georegistration: Aerial Multi-spectral Image Simulator for the Robot Operating System
  28. Decoupling the Depth and Scope of Graph Neural Networks
  29. Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
  30. Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework
  31. Critic Algorithms using Cooperative Networks
  32. Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
  33. BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding
  34. Building a Performance Model for Deep Learning Recommendation Model Training on GPUs
  35. A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
  36. ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
  37. Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
  38. Towards a General Deep Feature Extractor for Facial Expression Recognition
  39. Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
  40. Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons
  41. When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
  42. A pipeline for automated processing of Corona KH-4 (1962-1972) stereo imagery
  43. Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification
  44. Improving Biomedical Information Retrieval with Neural Retrievers
  45. SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation
  46. Data-to-Value: An Evaluation-First Methodology for Natural Language Projects
  47. Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
  48. Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces
  49. Debiased Graph Neural Networks with Agnostic Label Selection Bias
  50. Object Detection in Autonomous Vehicles: Status and Open Challenges
  51. GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
  52. Q-ViT: Fully Differentiable Quantization for Vision Transformer
  53. Anytime PSRO for Two-Player Zero-Sum Games
  54. Visualization and Analysis of Wearable Health Data From COVID-19 Patients
  55. GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection
  56. On the Complexity of a Practical Primal-Dual Coordinate Method
  57. Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data
  58. Learning to Rank For Push Notifications Using Pairwise Expected Regret
  59. Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows
  60. Code Sophistication: From Code Recommendation to Logic Recommendation
  61. Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts
  62. Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses
  63. Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning
  64. Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints
  65. A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
  66. Problem examination for AI methods in product design
  67. FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
  68. CAST: Character labeling in Animation using Self-supervision by Tracking
  69. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns
  70. ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights
  71. Nonlinear Unknown Input Observability and Unknown Input Reconstruction: The General Analytical Solution
  72. A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
  73. Near-Optimal Sparse Allreduce for Distributed Deep Learning
  74. Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care
  75. RAMANMETRIX: a delightful way to analyze Raman spectra
  76. DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code
  77. Models for information propagation on graphs
  78. Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation
  79. Batch versus Sequential Active Learning for Recommender Systems
  80. Stability of Deep Neural Networks via discrete rough paths
  81. Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
  82. Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
  83. Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning
  84. Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns
  85. Graph Neural Network-based Android Malware Classification with Jumping Knowledge
  86. Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results
  87. CM3: A Causal Masked Multimodal Model of the Internet
  88. Privacy-Aware Human Mobility Prediction via Adversarial Networks
  89. Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
  90. Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods
  91. POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons
  92. Development of Fake News Model using Machine Learning through Natural Language Processing
  93. High-fidelity 3D Model Compression based on Key Spheres
  94. Mixed Nondeterministic-Probabilistic Automata: Blending graphical probabilistic models with nondeterminism
  95. Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues
  96. PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
  97. Interpretable Learned Emergent Communication for Human-Agent Teams
  98. TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning
  99. TourBERT: A pretrained language model for the tourism industry
  100. Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
All 126
  1. On the Convergence Rates of Policy Gradient Methods
  2. Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
  3. Interpreting Arabic Transformer Models
  4. Variable Augmented Network for Invertible MR Coil Compression
  5. Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
  6. WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking
  7. Many Ways to Be Lonely: Fine-Grained Characterization of Loneliness and Its Potential Changes in COVID-19
  8. Self-Supervised Deep Blind Video Super-Resolution
  9. Cross-Language Binary-Source Code Matching with Intermediate Representations
  10. Poseur: Direct Human Pose Regression with Transformers
  11. Dual Space Graph Contrastive Learning
  12. Fooling MOSS Detection with Pretrained Language Models
  13. Compressed Smooth Sparse Decomposition
  14. Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost
  15. Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
  16. Ordinal Causal Discovery
  17. Overview frequency principle/spectral bias in deep learning
  18. KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition
  19. Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
  20. Swin-Pose: Swin Transformer Based Human Pose Estimation
  21. Online Deep Learning based on Auto-Encoder
  22. Unveiling Project-Specific Bias in Neural Code Models
  23. Prospective Learning: Principled Extrapolation to the Future
  24. The Role of Pleura and Adipose in Lung Ultrasound AI
  25. TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
  26. Improving Neural Machine Translation by Denoising Training