mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 30 Sep 2023

126 papers

  1. Deep Reinforcement Learning for Autonomous Vehicle Intersection NavigationEnd-to-end autonomous driving → Cooperative and V2X driving
  2. Domain-Controlled Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  3. Self-Supervised Open-Ended Classification with Small Visual Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  4. Interpretable Imitation Learning with Dynamic Causal RelationsOffline RL and imitation learning from data → Imitation learning methods
  5. DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion ModelsDiffusion models → Audio, speech and music
  6. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisDiffusion models → Diffusion foundations and sampling
  7. InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision GeneralistsDiffusion models → Image generation, text-to-image and editing
  8. HarmonyDream: Task Harmonization Inside World ModelsWorld models → Latent dynamics models and model-based RL +1
  9. Evolving Diverse Red-team Language Models in Multi-round Multi-agent GamesLLM agents and tool use → Social simulation and multi-agent debate +1
  10. Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent DiffusionDiffusion models → Medical imaging and segmentation
  11. Efficient Planning with Latent DiffusionDiffusion models → Diffusion and flow policies for robotics +1
  12. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model CollaborationLLM reasoning → Reasoning for agents, planning and code
  13. Investigating the Efficacy of Large Language Models in Reflective Assessment Methods through Chain of Thoughts PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  14. NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  15. Learning Mask-aware CLIP Representations for Zero-Shot SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  16. Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisDiffusion models → Image generation, text-to-image and editing
  17. Source Inference Attacks: Beyond Membership Inference Attacks in Federated LearningLLM safety and security → Federated unlearning and poisoning
  18. Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  19. Improving Planning with Large Language Models: A Modular Agentic ArchitectureLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data
  21. A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)
  22. A quantum system control method based on enhanced reinforcement learning
  23. UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities
  24. The Many Voices of Duying: Revisiting the Disputed Essays Between Lu Xun and Zhou Zuoren
  25. Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability
  26. Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets
  27. Graph Neural Architecture Search with GPT-4
  28. Reinforcement learning adaptive fuzzy controller for lighting systems: application to aircraft cabin
  29. Learning Informative Latent Representation for Quantum State Tomography
  30. Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
  31. Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection
  32. Nonparametric active learning for cost-sensitive classification
  33. Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning
  34. Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology
  35. Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
  36. Automated Gait Generation For Walking, Soft Robotic Quadrupeds
  37. The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
  38. From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
  39. Membership Privacy Risks of Sharpness Aware Minimization
  40. It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
  41. Prompting Code Interpreter to Write Better Unit Tests on Quixbugs Functions
  42. Generative Design of inorganic compounds using deep diffusion language models
  43. When Should a Leader Act Suboptimally? The Role of Inferability in Repeated Stackelberg Games
  44. Diff-DOPE: Differentiable Deep Object Pose Estimation
  45. Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
  46. Music- and Lyrics-driven Dance Synthesis
  47. SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
  48. On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning
  49. Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data
  50. Generalization error property of infoGAN for two-layer neural network
  51. Human-Producible Adversarial Examples
  52. Authorship identification under domain shift: a survey of stylistic measures and learned author representations
  53. Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
  54. Active-Perceptive Motion Generation for Mobile Manipulation
  55. ResolvNet: A Graph Convolutional Network with multi-scale Consistency
  56. On the Stability of Iterative Retraining of Generative Models on their own Data
  57. Technical Report of 2023 ABO Fine-grained Semantic Segmentation Competition
  58. An Efficient Algorithm for Clustered Multi-Task Compressive Sensing
  59. On Linear Convergence of PI Consensus Algorithm under the Restricted Secant Inequality
  60. MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images
  61. Refutation of Shapley Values for XAI -- Additional Evidence
  62. SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
  63. Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores
  64. Controlling Neural Style Transfer with Deep Reinforcement Learning
  65. Learning High-level Semantic-Relational Concepts for SLAM
  66. MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
  67. Order-Preserving GFlowNets
  68. Dynamic Demonstrations Controller for In-Context Learning
  69. ValueDCG: Measuring Comprehensive Human Value Understanding Ability of Language Models
  70. Mitigating the Effect of Incidental Correlations on Part-based Learning
  71. Deep Active Learning with Noisy Oracle in Object Detection
  72. LIB-KD: Teaching Inductive Bias for Efficient Vision Transformer Distillation and Compression
  73. AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
  74. Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
  75. CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition
  76. Structural Adversarial Objectives for Self-Supervised Representation Learning
  77. Gaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability
  78. AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray -- HUNT4 Oral Health Study
  79. Neuroadaptation in Physical Human-Robot Collaboration
  80. Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram
  81. Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
  82. RBF Weighted Hyper-Involution for RGB-D Object Detection
  83. FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
  84. Quantization of Deep Neural Networks to facilitate self-correction of weights on Phase Change Memory-based analog hardware
  85. DURENDAL: Graph deep learning framework for temporal heterogeneous networks
  86. Anomaly Detection in Power Generation Plants with Generative Adversarial Networks
  87. MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection
  88. Memorization With Neural Nets: Going Beyond the Worst Case
  89. Decoding In-Context Learning: Neuroscience-inspired Analysis of Representations in Large Language Models
  90. An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy
  91. Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation
  92. Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
  93. Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling
  94. RelBERT: Embedding Relations with Language Models
  95. Understanding In-Context Learning from Repetitions
  96. QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration
  97. Universality of almost periodic orbits in certain composite functions
  98. Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing Attention
  99. InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset
  100. Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition
All 126
  1. A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
  2. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR
  3. SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
  4. Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection
  5. The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamics
  6. On Sinkhorn's Algorithm and Choice Modeling
  7. AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models
  8. MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending
  9. Learning State-Augmented Policies for Information Routing in Communication Networks
  10. Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
  11. A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
  12. Walking = Traversable? : Traversability Prediction via Multiple Human Object Tracking under Occlusion
  13. AdaptNet: Policy Adaptation for Physics-Based Character Control
  14. Pixel-Inconsistency Modeling for Image Manipulation Localization
  15. CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
  16. SLM: Bridge the thin gap between speech and text foundation models
  17. Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
  18. Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
  19. Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study
  20. LSOR: Longitudinally-Consistent Self-Organized Representation Learning
  21. Detecting Unseen Multiword Expressions in American Sign Language
  22. Finding Pragmatic Differences Between Disciplines
  23. DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution
  24. Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
  25. The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes
  26. Exploring Strategies for Modeling Sign Language Phonology