mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 10 Sep 2023

89 papers

  1. DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationDiffusion models → Diffusion foundations and sampling
  2. Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodDiffusion models → Diffusion foundations and sampling
  3. Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise ControlEnd-to-end autonomous driving → Reinforcement learning for driving
  4. An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game AgentsLLM agents and tool use → Social simulation and multi-agent debate
  5. Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple LevelsKnowledge distillation → Multimodal distillation
  6. VoiceFlow: Efficient Text-to-Speech with Rectified Flow MatchingDiffusion models → Audio, speech and music
  7. SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  8. Retrieval-Augmented Meta Learning for Low-Resource Text ClassificationRetrieval-augmented generation → Generation and context integration
  9. Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image CaptioningDiffusion models → Image generation, text-to-image and editing
  10. Editing 3D Scenes via Text Prompts without RetrainingDiffusion models → 3D, point cloud and scene generation
  11. Effective Real Image Editing with Accelerated Iterative Diffusion InversionDiffusion models → Image generation, text-to-image and editing
  12. Predicting the activity of chemical compounds based on machine learning approaches
  13. Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction
  14. Classification of Spam URLs Using Machine Learning Approaches
  15. Mitigating Denial of Service Attacks in Fog-Based Wireless Sensor Networks Using Machine Learning Techniques
  16. Operator-free Equilibrium on the Sphere
  17. Implementing Learning Principles with a Personal AI Tutor: A Case Study
  18. Representation Learning in Low-rank Slate-based Recommender Systems
  19. Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
  20. Variance Reduction of Resampling for Sequential Monte Carlo
  21. Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee
  22. Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
  23. High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) Systems
  24. Machine Translation Models Stand Strong in the Face of Adversarial Attacks
  25. Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review
  26. Lung Diseases Image Segmentation using Faster R-CNNs
  27. Chebyshev Particles
  28. A compendium of data sources for data science, machine learning, and artificial intelligence
  29. Knowledge-based Refinement of Scientific Publication Knowledge Graphs
  30. Collecting Visually-Grounded Dialogue with A Game Of Sorts
  31. Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation
  32. Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
  33. Outlier Robust Adversarial Training
  34. Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning
  35. A Skeleton-based Approach For Rock Crack Detection Towards A Climbing Robot Application
  36. DAD++: Improved Data-free Test Time Adversarial Defense
  37. Signal Temporal Logic Neural Predictive Control
  38. The online learning architecture with edge computing for high-level control for assisting patients
  39. WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education
  40. Deep Learning-Aided Subspace-Based DOA Recovery for Sparse Arrays
  41. Nonlinear Granger Causality using Kernel Ridge Regression
  42. Convex Q Learning in a Stochastic Environment: Extended Version
  43. AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
  44. Is Learning in Biological Neural Networks based on Stochastic Gradient Descent? An analysis using stochastic processes
  45. 3D Implicit Transporter for Temporally Consistent Keypoint Discovery
  46. MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment
  47. Adaptive conformal classification with noisy labels
  48. Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference
  49. Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
  50. A supervised generative optimization approach for tabular data
  51. Generalization error bounds for iterative learning algorithms with bounded updates
  52. FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
  53. Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
  54. Super-Resolution Surface Reconstruction from Few Low-Resolution Slices
  55. Chasing the Intruder: A Reinforcement Learning Approach for Tracking Intruder Drones
  56. Mutation-based Fault Localization of Deep Neural Networks
  57. Federated Learning Incentive Mechanism under Buyers' Auction Market
  58. Machine Learning for maximizing the memristivity of single and coupled quantum memristors
  59. Multi-view Self-supervised Disentanglement for General Image Denoising
  60. The Effect of Alignment Objectives on Code-Switching Translation
  61. What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments
  62. Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition
  63. Decolonial AI Alignment: Openness, Vi'sedsa-Dharma, and Including Excluded Knowledges
  64. SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views
  65. Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps
  66. DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices
  67. Geometrically Consistent Partial Shape Matching
  68. FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation
  69. Mitigating Word Bias in Zero-shot Prompt-based Classifiers
  70. Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data
  71. RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution
  72. AVARS -- Alleviating Unexpected Urban Road Traffic Congestion using UAVs
  73. Continual Robot Learning using Self-Supervised Task Inference
  74. Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection
  75. LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation
  76. Towards Fully Decoupled End-to-End Person Search
  77. Multi-modal Extreme Classification
  78. SdCT-GAN: Reconstructing CT from Biplanar X-Rays with Self-driven Generative Adversarial Networks
  79. Semi-Supervised learning for Face Anti-Spoofing using Apex frame
  80. Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
  81. Multi-document Summarization: A Comparative Evaluation
  82. A multiple k-means cluster ensemble framework for clustering citation trajectories
  83. Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
  84. Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
  85. What's Hard in English RST Parsing? Predictive Models for Error Analysis
  86. The Emergence of Chunking Structures with Hierarchical RNN
  87. MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation
  88. A Review of Machine Learning-based Security in Cloud Computing
  89. Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art