mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 20 Dec 2021

133 papers

  1. Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward FunctionsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  2. High-Resolution Image Synthesis with Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  3. RvS: What is Essential for Offline RL via Supervised Learning?Offline RL and imitation learning from data → Offline RL algorithms
  4. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  5. Efficient Large Scale Language Modeling with Mixtures of ExpertsMixture-of-experts → MoE large language models
  6. Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products
  7. FIFA ranking: Evaluation and path forward
  8. Improved Topic modeling in Twitter through Community Pooling
  9. Black-Box Testing of Deep Neural Networks Through Test Case Diversity
  10. A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA
  11. Attention Based Communication and Control for Multi-UAV Path Planning
  12. Predicting treatment effects from observational studies using machine learning methods: A simulation study
  13. A New Adaptive Noise Covariance Matrices Estimation and Filtering Method: Application to Multi-Object Tracking
  14. Variational Quantum Soft Actor-Critic
  15. Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks
  16. Generating Photo-realistic Images from LiDAR Point Clouds with Generative Adversarial Networks
  17. Hateful Memes Challenge: An Enhanced Multimodal Framework
  18. Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection
  19. Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging
  20. Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
  21. Energy-bounded Learning for Robust Models of Code
  22. RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction
  23. Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals
  24. Manifold learning via quantum dynamics
  25. Integral representations of shallow neural network with Rectified Power Unit activation function
  26. Big Data is not the New Oil: Common Misconceptions about Population Data
  27. Spatiotemporal Motion Synchronization for Snowboard Big Air
  28. Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
  29. VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
  30. A Constraint Programming Approach to Weighted Isomorphic Mapping of Fragment-based Shape Signatures
  31. Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms
  32. Surrogate Model for Shallow Water Equations Solvers with Deep Learning
  33. PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization
  34. Learning Bayesian Networks in the Presence of Structural Side Information
  35. Enabling NAS with Automated Super-Network Generation
  36. AGPNet -- Autonomous Grading Policy Network
  37. Calabi-Yau Metrics, Energy Functionals and Machine-Learning
  38. Translational Concept Embedding for Generalized Compositional Zero-shot Learning
  39. The effective noise of Stochastic Gradient Descent
  40. Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift
  41. One Sketch for All: One-Shot Personalized Sketch Segmentation
  42. Natural language processing to identify lupus nephritis phenotype in electronic health records
  43. Lite Vision Transformer with Enhanced Self-Attention
  44. Demonstration Informed Specification Search
  45. Machine learning discovery of new phases in programmable quantum simulator snapshots
  46. HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
  47. TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
  48. Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train
  49. Mask2Former for Video Instance Segmentation
  50. StyleSwin: Transformer-based GAN for High-resolution Image Generation
  51. 3D-aware Image Synthesis via Learning Structural and Textural Representations
  52. Discovering State Variables Hidden in Experimental Data
  53. Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems
  54. Learning Semi-Structured Representations of Radiology Reports
  55. Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
  56. MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
  57. Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
  58. BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations
  59. Learning Spatio-Temporal Specifications for Dynamical Systems
  60. Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
  61. Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator
  62. Adversarially Robust Stability Certificates can be Sample-Efficient
  63. SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network
  64. Few-shot Learning with Multilingual Language Models
  65. Proving Theorems using Incremental Learning and Hindsight Experience Replay
  66. Bayesian neural network priors for edge-preserving inversion
  67. HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
  68. Raw High-Definition Radar for Multi-Task Learning
  69. Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps
  70. Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
  71. Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
  72. Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach
  73. Turbo-Sim: a generalised generative model with a physical latent space
  74. Learning to integrate vision data into road network data
  75. A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
  76. DeePaste -- Inpainting for Pasting
  77. Differentially Private Regret Minimization in Episodic Markov Decision Processes
  78. Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
  79. Image-free multi-character recognition
  80. Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
  81. General Greedy De-bias Learning
  82. Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition
  83. PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series
  84. Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
  85. Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages
  86. Scope and Sense of Explainability for AI-Systems
  87. Spiral Language Modeling
  88. Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution
  89. Object Recognition as Classification via Visual Properties
  90. NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
  91. Certified Federated Adversarial Training
  92. Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
  93. Transformers Can Do Bayesian Inference
  94. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
  95. Scale-Net: Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching
  96. Fusion and Orthogonal Projection for Improved Face-Voice Association
  97. ScanQA: 3D Question Answering for Spatial Scene Understanding
  98. a novel attention-based network for fast salient object detection
  99. Reciprocal Normalization for Domain Adaptation
  100. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
All 133
  1. Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
  2. Image Animation with Keypoint Mask
  3. Learning with Label Noise for Image Retrieval by Selecting Interactions
  4. Towards Trustworthy Cross-patient Model Development
  5. Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
  6. Model-based Clustering with Missing Not At Random Data
  7. Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
  8. UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
  9. Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm
  10. Quasi-uniform designs with optimal and near-optimal uniformity constant
  11. Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images
  12. Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
  13. Multimodal Adversarially Learned Inference with Factorized Discriminators
  14. Learning for Robust Combinatorial Optimization: Algorithm and Application
  15. CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
  16. A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
  17. Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
  18. Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
  19. DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction
  20. May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation
  21. Classifier Calibration: A survey on how to assess and improve predicted class probabilities
  22. Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis
  23. Product Re-identification System in Fully Automated Defect Detection
  24. Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims
  25. English-to-Chinese Transliteration with Phonetic Back-transliteration
  26. CSSR: A Context-Aware Sequential Software Service Recommendation Model
  27. Balancing Adaptability and Non-exploitability in Repeated Games
  28. Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity
  29. Contrastive Attention Network with Dense Field Estimation for Face Completion
  30. Skin lesion segmentation and classification using deep learning and handcrafted features
  31. Model-based gait recognition using graph network on very large population database
  32. Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks on YawDD
  33. Distributionally Robust Group Backwards Compatibility