mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 19 Aug 2021

155 papers

  1. Provable Benefits of Actor-Critic Methods for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function ApproximationOffline RL and imitation learning from data → Imitation learning methods
  3. A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous VehiclesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  4. Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method
  5. Resource allocation method using tug-of-war-based synchronization
  6. How Hateful are Movies? A Study and Prediction on Movie Subtitles
  7. Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs
  8. Cooperative Localization Utilizing Reinforcement Learning for 5G Networks
  9. Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
  10. A Framework for Neural Topic Modeling of Text Corpora
  11. PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
  12. Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields
  13. Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
  14. CenterPoly: real-time instance segmentation using bounding polygons
  15. Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset -- Addressing the Noise-Latent Trade-Off
  16. Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
  17. Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
  18. Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
  19. Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
  20. Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
  21. Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era
  22. Multi defect detection and analysis of electron microscopy images with deep learning
  23. A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations
  24. Signal Injection Attacks against CCD Image Sensors
  25. Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
  26. Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
  27. Comparing concepts of quantum and classical neural network models for image classification task
  28. Towards A Fairer Landmark Recognition Dataset
  29. Structure Learning for Directed Trees
  30. Topo2vec: Topography Embedding Using the Fractal Effect
  31. MOFit: A Framework to reduce Obesity using Machine learning and IoT
  32. Personalized next-best action recommendation with multi-party interaction learning for automated decision-making
  33. Gravity-Aware Monocular 3D Human-Object Reconstruction
  34. Learning Equilibria in Matching Markets from Bandit Feedback
  35. EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
  36. Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
  37. PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
  38. Multi-Object Tracking with Hallucinated and Unlabeled Videos
  39. Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
  40. ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
  41. Towards Vivid and Diverse Image Colorization with Generative Color Prior
  42. Discriminating modelling approaches for Point in Time Economic Scenario Generation
  43. Click to Move: Controlling Video Generation with Sparse Motion
  44. Do Vision Transformers See Like Convolutional Neural Networks?
  45. Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model)
  46. Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing
  47. Lifelong Computing
  48. EqGNN: Equalized Node Opportunity in Graphs
  49. Image Inpainting using Partial Convolution
  50. Simple is better: Making Decision Trees faster using random sampling
  51. Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
  52. Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting
  53. Causal Attention for Unbiased Visual Recognition
  54. Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error
  55. MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images
  56. Learning to Match Features with Seeded Graph Matching Network
  57. Learning-to-learn non-convex piecewise-Lipschitz functions
  58. Learning General Halfspaces with General Massart Noise under the Gaussian Distribution
  59. Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation
  60. Robust outlier detection by de-biasing VAE likelihoods
  61. DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
  62. Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity
  63. Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks
  64. Temporal Graph Network Embedding with Causal Anonymous Walks Representations
  65. A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning
  66. FSNet: A Failure Detection Framework for Semantic Segmentation
  67. Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules
  68. SiReN: Sign-Aware Recommendation Using Graph Neural Networks
  69. odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks
  70. Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
  71. Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves
  72. Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
  73. How to cheat with metrics in single-image HDR reconstruction
  74. Teaching Uncertainty Quantification in Machine Learning through Use Cases
  75. Czech News Dataset for Semantic Textual Similarity
  76. Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables
  77. Contrastive Language-Image Pre-training for the Italian Language
  78. The Legislative Recipe: Syntax for Machine-Readable Legislation
  79. Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions
  80. Fine-Grained Element Identification in Complaint Text of Internet Fraud
  81. Towards Controllable and Photorealistic Region-wise Image Manipulation
  82. On Accelerating Distributed Convex Optimizations
  83. Video Relation Detection via Tracklet based Visual Transformer
  84. Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations
  85. Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning
  86. 3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
  87. Multi-Center Federated Learning: Clients Clustering for Better Personalization
  88. Batch Curation for Unsupervised Contrastive Representation Learning
  89. Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework
  90. A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
  91. Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition
  92. Determinant-free fermionic wave function using feed-forward neural networks
  93. An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller
  94. VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction
  95. An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
  96. Spatially-Adaptive Image Restoration using Distortion-Guided Networks
  97. Probability Estimation of Uncertain Process Trace Realizations
  98. UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
  99. Settling the Variance of Multi-Agent Policy Gradients
  100. Generating Superpixels for High-resolution Images with Decoupled Patch Calibration
All 155
  1. Prof. Sch"onhage's Mysterious Machines
  2. Fast Newton method solving KLR based on Multilevel Circulant Matrix with log-linear complexity
  3. Forgetting Formulas and Signature Elements in Epistemic States
  4. Semantic Compositional Learning for Low-shot Scene Graph Generation
  5. Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
  6. Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization
  7. 3D Shapes Local Geometry Codes Learning with SDF
  8. Progressive and Selective Fusion Network for High Dynamic Range Imaging
  9. Exploiting Scene Graphs for Human-Object Interaction Detection
  10. Towards More Efficient Federated Learning with Better Optimization Objects
  11. StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
  12. Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis
  13. Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
  14. Pruning in the Face of Adversaries
  15. DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
  16. Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
  17. Learned Video Compression with Residual Prediction and Loop Filter
  18. Learning System Parameters from Turing Patterns
  19. Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
  20. A Unified Objective for Novel Class Discovery
  21. An Information Theory-inspired Strategy for Automatic Network Pruning
  22. Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens
  23. Few-shot Segmentation with Optimal Transport Matching and Message Flow
  24. Retrieval and Localization with Observation Constraints
  25. Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue
  26. Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
  27. Understanding and Mitigating Annotation Bias in Facial Expression Recognition
  28. A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
  29. Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil
  30. Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
  31. Language Model Augmented Relevance Score
  32. A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection
  33. VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
  34. Neural Operator: Learning Maps Between Function Spaces
  35. Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
  36. Image2Lego: Customized LEGO Set Generation from Images
  37. Proceedings of the 1st International Workshop on Adaptive Cyber Defense
  38. Trends in Neural Architecture Search: Towards the Acceleration of Search
  39. Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50
  40. ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
  41. QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
  42. Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
  43. Blockchain Phishing Scam Detection via Multi-channel Graph Classification
  44. Improving Human Sequential Decision-Making with Reinforcement Learning
  45. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
  46. Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
  47. MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
  48. Semantic Reinforced Attention Learning for Visual Place Recognition
  49. Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
  50. Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision
  51. Self-Supervised Video Representation Learning with Meta-Contrastive Network
  52. Second-Order Specifications and Quantifier Elimination for Consistent Query Answering in Databases
  53. Generating Smooth Pose Sequences for Diverse Human Motion Prediction
  54. Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
  55. D3D-HOI: Dynamic 3D Human-Object Interactions from Videos