mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 24 Jan 2023

127 papers

  1. Solving Inverse Physics Problems with Score MatchingDiffusion models → Inverse problems and image restoration
  2. A Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
  3. Bipartite Graph Diffusion Model for Human Interaction GenerationDiffusion models → Video generation
  4. When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMAKnowledge distillation → Federated, robust and private distillation
  5. Intrinsic Motivation in Model-based Reinforcement Learning: A Brief ReviewWorld models → Latent dynamics models and model-based RL
  6. DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion ModelDiffusion models → Audio, speech and music
  7. Membership Inference of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  8. Language-guided Task Adaptation for Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  9. A Novel Deep Reinforcement Learning-based Approach for Enhancing Spectral Efficiency of IRS-assisted Wireless Systems
  10. DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing
  11. Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey
  12. Interpretable Out-Of-Distribution Detection Using Pattern Identification
  13. Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence
  14. Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models
  15. Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis
  16. GAN-Based Object Removal in High-Resolution Satellite Images
  17. Semi-Automated Construction of Food Composition Knowledge Base
  18. AI vs. Human -- Differentiation Analysis of Scientific Content Generation
  19. Capacity Analysis of Vector Symbolic Architectures
  20. Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
  21. Parameterizing the cost function of Dynamic Time Warping with application to time series classification
  22. GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations
  23. ClimaX: A foundation model for weather and climate
  24. AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning
  25. Multilingual Multiaccented Multispeaker TTS with RADTTS
  26. Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
  27. Generating Multidimensional Clusters With Support Lines
  28. Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems
  29. Designing Data: Proactive Data Collection and Iteration for Machine Learning
  30. Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
  31. Large language models can segment narrative events similarly to humans
  32. PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  33. Audience-Centric Natural Language Generation via Style Infusion
  34. Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
  35. NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
  36. Learned Interferometric Imaging for the SPIDER Instrument
  37. K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
  38. Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
  39. RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
  40. Detecting and measuring human gastric peristalsis using magnetically controlled capsule endoscope
  41. A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction
  42. Neuronal architecture extracts statistical temporal patterns
  43. WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification
  44. Enhanced Sharp-GAN For Histopathology Image Synthesis
  45. ViHOS: Hate Speech Spans Detection for Vietnamese
  46. Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis
  47. How Jellyfish Characterise Alternating Group Equivariant Neural Networks
  48. The Semantic Scholar Open Data Platform
  49. Read the Signs: Towards Invariance to Gradient Descent's Hyperparameter Initialization
  50. Improving Open-Set Semi-Supervised Learning with Self-Supervision
  51. Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
  52. Generalized Object Search
  53. Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning
  54. A Robust Hypothesis Test for Tree Ensemble Pruning
  55. PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
  56. Story Shaping: Teaching Agents Human-like Behavior with Stories
  57. Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
  58. Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards
  59. Model soups to increase inference without increasing compute time
  60. Adaptive Probabilistic Forecasting of Electricity (Net-)Load
  61. Reformulation Techniques for Automated Planning: A Systematic Review
  62. Autonomous particles
  63. Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges
  64. Explainable Data-Driven Optimization: From Context to Decision and Back Again
  65. Inference of Continuous Linear Systems from Data with Guaranteed Stability
  66. Planar Object Tracking via Weighted Optical Flow
  67. Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses
  68. A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data
  69. Event Detection in Football using Graph Convolutional Networks
  70. Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism
  71. Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
  72. Progressive Meta-Pooling Learning for Lightweight Image Classification Model
  73. Koopman neural operator as a mesh-free solver of non-linear partial differential equations
  74. Few-shot Font Generation by Learning Style Difference and Similarity
  75. Multitask Instruction-based Prompting for Fallacy Recognition
  76. Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport
  77. Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
  78. Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process
  79. Learning To Dive In Branch And Bound
  80. ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
  81. Solving the Discretised Neutron Diffusion Equations using Neural Networks
  82. Explainable Deep Reinforcement Learning: State of the Art and Challenges
  83. Efficient learning of large sets of locally optimal classification rules
  84. Quadruple-star systems are not always nested triples: a machine learning approach to dynamical stability
  85. A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems
  86. Opportunities and Challenges in Neural Dialog Tutoring
  87. Smart tutor to provide feedback in programming courses
  88. Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
  89. Applications and Challenges of Sentiment Analysis in Real-life Scenarios
  90. Conclusion-based Counter-Argument Generation
  91. Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
  92. Transfer Learning for Olfactory Object Detection
  93. Investigating Labeler Bias in Face Annotation for Machine Learning
  94. Automated Identification of Disaster News For Crisis Management Using Machine Learning
  95. Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue
  96. Probabilistic Bilevel Coreset Selection
  97. Data Augmentation Alone Can Improve Adversarial Training
  98. ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
  99. Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
  100. Context-specific kernel-based hidden Markov model for time series analysis
All 127
  1. Image Super-Resolution using Efficient Striped Window Transformer
  2. Same or Different? Diff-Vectors for Authorship Analysis
  3. A predictive physics-aware hybrid reduced order model for reacting flows
  4. PowerQuant: Automorphism Search for Non-Uniform Quantization
  5. Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments
  6. Neighborhood Homophily-based Graph Convolutional Network
  7. RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies
  8. Gossiped and Quantized Online Multi-Kernel Learning
  9. Implementation of the Critical Wave Groups Method with Computational Fluid Dynamics and Neural Networks
  10. Solving Quantum-Inspired Perfect Matching Problems via Tutte's Theorem-Based Hybrid Boolean Constraints
  11. Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
  12. A Stability Analysis of Fine-Tuning a Pre-Trained Model
  13. Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  14. SMART: Self-supervised Multi-task pretrAining with contRol Transformers
  15. Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity
  16. Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
  17. Multi-view Kernel PCA for Time series Forecasting
  18. Low-Resource Compositional Semantic Parsing with Concept Pretraining
  19. On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization
  20. Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach
  21. LDMIC: Learning-based Distributed Multi-view Image Coding
  22. Quantification of Damage Using Indirect Structural Health Monitoring
  23. The Next Chapter: A Study of Large Language Models in Storytelling
  24. Transformer-Patcher: One Mistake worth One Neuron
  25. Differentiable bit-rate estimation for neural-based video codec enhancement
  26. Truveta Mapper: A Zero-shot Ontology Alignment Framework
  27. Constrained Reinforcement Learning for Dexterous Manipulation