mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 15 Aug 2022

134 papers

  1. Towards Informed Design and Validation Assistance in Computer Games Using Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  2. Applying Regularized Schr"odinger-Bridge-Based Stochastic Process in Generative ModelingDiffusion models → Diffusion foundations and sampling
  3. Context-aware Mixture-of-Experts for Unbiased Scene Graph GenerationMixture-of-experts → Vision mixture-of-experts
  4. Efficient Climate Simulation via Machine Learning Method
  5. Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA
  6. Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition
  7. ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion
  8. Federated Quantum Natural Gradient Descent for Quantum Federated Learning
  9. Regime-based Implied Stochastic Volatility Model for Crypto Option Pricing
  10. Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  11. Transformer Networks for Predictive Group Elevator Control
  12. POCS-based Clustering Algorithm
  13. Synergistic Integration of Techniques of VC, Communication Technologies and Unities of Calculation Transportable for Generate a System Embedded That Monitors Pyroclastic Flows in Real Time
  14. Deep learning for enhanced free-space optical communications
  15. QuickSkill: Novice Skill Estimation in Online Multiplayer Games
  16. tile2tile: Learning Game Filters for Platformer Style Transfer
  17. BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM
  18. Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition
  19. Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
  20. An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
  21. Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
  22. A Library for Representing Python Programs as Graphs for Machine Learning
  23. Learnable Filters for Geometric Scattering Modules
  24. Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering
  25. Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
  26. Entity Anchored ICD Coding
  27. WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch
  28. Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
  29. An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation
  30. Private Query Release via the Johnson-Lindenstrauss Transform
  31. SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
  32. Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
  33. Combining Predictions under Uncertainty: The Case of Random Decision Trees
  34. D"urfen Maschinen denken (k"onnen)? Warum K"unstliche Intelligenz eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why Artificial Intelligence Needs Ethics)
  35. SynKB: Semantic Search for Synthetic Procedures
  36. A Survey of Recommender System Techniques and the Ecommerce Domain
  37. Reproduction and Replication of an Adversarial Stylometry Experiment
  38. Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
  39. Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments
  40. MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
  41. Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation
  42. Easy Differentially Private Linear Regression
  43. Action Recognition based on Cross-Situational Action-object Statistics
  44. Can a latent Hawkes process be used for epidemiological modelling?
  45. LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
  46. SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
  47. Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles
  48. Anticipating Performativity by Predicting from Predictions
  49. Signed Graph Neural Networks: A Frequency Perspective
  50. Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
  51. MENLI: Robust Evaluation Metrics from Natural Language Inference
  52. Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students
  53. Task Oriented Video Coding: A Survey
  54. Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft
  55. Elderly Fall Detection Using CCTV Cameras under Partial Occlusion of the Subjects Body
  56. A Tool for Neural Network Global Robustness Certification and Training
  57. Differentiable WORLD Synthesizer-based Neural Vocoder With Application To End-To-End Audio Style Transfer
  58. Debiased Recommendation with Neural Stratification
  59. Training-Time Attacks against k-Nearest Neighbors
  60. Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks
  61. Bias amplification in experimental social networks is reduced by resampling
  62. Multi-modal Transformer Path Prediction for Autonomous Vehicle
  63. Exponential Concentration in Stochastic Approximation
  64. HEFT: Homomorphically Encrypted Fusion of Biometric Templates
  65. ROLAND: Graph Learning Framework for Dynamic Graphs
  66. Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation
  67. DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
  68. An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
  69. ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool
  70. WiFi Based Distance Estimation Using Supervised Machine Learning
  71. One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction
  72. Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving
  73. A Human-in-the-Middle Attack against Object Detection Systems
  74. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
  75. C-Causal Blindness
  76. Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
  77. An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
  78. Exploring Generative Models for Joint Attribute Value Extraction from Product Titles
  79. Deception for Cyber Defence: Challenges and Opportunities
  80. Online 3D Bin Packing Reinforcement Learning Solution with Buffer
  81. Preventing Deterioration of Classification Accuracy in Predictive Coding Networks
  82. A Unified Image Preprocessing Framework For Image Compression
  83. Grasping Core Rules of Time Series through Pure Models
  84. Global Consistent Point Cloud Registration Based on Lie-algebraic Cohomology
  85. Seminaive Materialisation in DatalogMTL
  86. Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task
  87. Analysis of impact of emotions on target speech extraction and speech separation
  88. Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration
  89. Estimating Personal Model Parameters from Utterances in Model-based Reminiscence
  90. Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
  91. Predictive Data Calibration for Linear Correlation Significance Testing
  92. Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
  93. Sound and Relatively Complete Belief Hoare Logic for Statistical Hypothesis Testing Programs
  94. A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals
  95. UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene
  96. Self-Supervised Vision Transformers for Malware Detection
  97. Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
  98. Non-Blocking Batch A* (Technical Report)
  99. Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing
  100. Memory-Driven Text-to-Image Generation
All 134
  1. Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory
  2. Prospects of federated machine learning in fluid dynamics
  3. MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
  4. Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior
  5. Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks
  6. AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
  7. Adaptive Joint Optimization for 3D Reconstruction with Differentiable Rendering
  8. HoW-3D: Holistic 3D Wireframe Perception from a Single Image
  9. Combining deep learning and crowdsourcing geo-images to predict housing quality in rural China
  10. On a Mechanism Framework of Autoencoders
  11. Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
  12. Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks
  13. IRL with Partial Observations using the Principle of Uncertain Maximum Entropy
  14. The Causal Structure of Domain Invariant Supervised Representation Learning
  15. A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design
  16. Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand
  17. Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
  18. DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
  19. Rethinking Graph Neural Networks for the Graph Coloring Problem
  20. Learning Semantic Correspondence with Sparse Annotations
  21. STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval
  22. Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
  23. InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
  24. A Hybrid Model of Classification and Generation for Spatial Relation Extraction
  25. Evaluating Dense Passage Retrieval using Transformers
  26. Syntax-driven Data Augmentation for Named Entity Recognition
  27. ARIEL: Adversarial Graph Contrastive Learning
  28. Continuous Active Learning Using Pretrained Transformers
  29. How Does Data Freshness Affect Real-time Supervised Learning?
  30. Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
  31. Targeted Honeyword Generation with Language Models
  32. Uni6Dv2: Noise Elimination for 6D Pose Estimation
  33. Optimistic No-regret Algorithms for Discrete Caching
  34. Generating Pixel Art Character Sprites using GANs