mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 10 Jun 2023

86 papers

  1. Human-in-the-Loop through Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  2. Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New BenchmarkMultimodal LLMs / vision-language models → Medical vision-language models
  3. ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision TransformerMixture-of-experts → Vision mixture-of-experts
  4. Boosting Language Models Reasoning with Chain-of-Knowledge PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  5. Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
  6. EventCLIP: Adapting CLIP for Event-based Object RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  7. DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment InconsistenciesSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  8. Language-Guided Traffic Simulation via Scene-Level DiffusionDiffusion models → Diffusion and flow policies for robotics
  9. Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation ExaminationLLM reasoning → Mathematical reasoning
  10. HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled ApproachOffline RL and imitation learning from data → Offline RL algorithms
  11. Referring to Screen Texts with Voice Assistants
  12. Medical Data Augmentation via ChatGPT: A Case Study on Medication Identification and Medication Event Classification
  13. Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
  14. Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks
  15. MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments
  16. Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice
  17. K-Tensors: Clustering Positive Semi-Definite Matrices
  18. AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
  19. Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
  20. Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
  21. Contribution `a l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes
  22. What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model
  23. Finding Hamiltonian cycles with graph neural networks
  24. TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
  25. Universal Language Modelling agent
  26. Probabilistic Multi-Dimensional Classification
  27. Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
  28. Partial Identifiability for Domain Adaptation
  29. Optimizing the Collaboration Structure in Cross-Silo Federated Learning
  30. Calculating and Visualizing Counterfactual Feature Importance Values
  31. Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs
  32. Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
  33. Defining and Explorting the Intelligence Space
  34. Online learning for X-ray, CT or MRI
  35. On Robot Grasp Learning Using Equivariant Models
  36. TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
  37. Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
  38. Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
  39. Enhancing Low Resource NER Using Assisting Language And Transfer Learning
  40. Modality Influence in Multimodal Machine Learning
  41. Interpretable Differencing of Machine Learning Models
  42. Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
  43. ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
  44. Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
  45. BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
  46. Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms
  47. Image Vectorization: a Review
  48. Sliding Window Neural Generated Tracking Based on Measurement Model
  49. Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
  50. Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis
  51. OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment
  52. Functional Causal Bayesian Optimization
  53. Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows
  54. D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery
  55. Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication
  56. A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
  57. Personalized Graph Federated Learning with Differential Privacy
  58. PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
  59. From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
  60. Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation
  61. Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
  62. Adversarial Training For Low-Resource Disfluency Correction
  63. INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation
  64. D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
  65. A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution
  66. Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions
  67. Optimized Gradient Tracking for Decentralized Online Learning
  68. A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text
  69. AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder
  70. Shuffled Autoregression For Motion Interpolation
  71. FalconNet: Factorization for the Light-weight ConvNets
  72. Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
  73. 3D reconstruction using Structure for Motion
  74. NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
  75. Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC
  76. ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
  77. Two-Stage Holistic and Contrastive Explanation of Image Classification
  78. Machine Learning Based Missing Values Imputation in Categorical Datasets
  79. How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
  80. Autonomous Drifting with 3 Minutes of Data via Learned Tire Models
  81. Any-dimensional equivariant neural networks
  82. Explaining a machine learning decision to physicians via counterfactuals
  83. Differentially private sliced inverse regression in the federated paradigm
  84. Learning Joint Latent Space EBM Prior Model for Multi-layer Generator
  85. Towards Arabic Multimodal Dataset for Sentiment Analysis
  86. Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition