mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 15 Apr 2023

76 papers

  1. Causal models in string diagramsLLM reasoning → Causal reasoning in LLMs
  2. Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  3. A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving SimulationEnd-to-end autonomous driving → Reinforcement learning for driving
  4. Teacher Network Calibration Improves Cross-Quality Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  5. Self-collaboration Code Generation via ChatGPTLLM agents and tool use → Software engineering coding agents
  6. Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies
  7. Evaluation of Speaker Anonymization on Emotional Speech
  8. The Design Space of Generative Models
  9. Practical Differentially Private and Byzantine-resilient Federated Learning
  10. An innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction
  11. The XAISuite framework and the implications of explanatory system dissonance
  12. Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology
  13. Dimensionality Reduction as Probabilistic Inference
  14. EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks
  15. Learned Interpolation for Better Streaming Quantile Approximation with Worst-Case Guarantees
  16. LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision
  17. Magnitude Invariant Parametrizations Improve Hypernetwork Learning
  18. TransDocs: Optical Character Recognition with word to word translation
  19. Neural Approaches to Entity-Centric Information Extraction
  20. Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
  21. Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms
  22. STen: Productive and Efficient Sparsity in PyTorch
  23. A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition
  24. A tutorial on the Bayesian statistical approach to inverse problems
  25. ODSmoothGrad: Generating Saliency Maps for Object Detectors
  26. High-Speed and Energy-Efficient Non-Binary Computing with Polymorphic Electro-Optic Circuits and Architectures
  27. Learning in latent spaces improves the predictive accuracy of deep neural operators
  28. An Instance Segmentation Dataset of Yeast Cells in Microstructures
  29. FSDNet-An efficient fire detection network for complex scenarios based on YOLOv3 and DenseNet
  30. Can SAM Segment Polyps?
  31. Surveillance Face Presentation Attack Detection Challenge
  32. Exploring Incompatible Knowledge Transfer in Few-shot Image Generation
  33. CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval
  34. Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
  35. Icospherical Chemical Objects (ICOs) allow for chemical data augmentation and maintain rotational, translation and permutation invariance
  36. Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning
  37. MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing
  38. TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
  39. Within-Camera Multilayer Perceptron DVS Denoising
  40. Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review
  41. Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
  42. From Online Behaviours to Images: A Novel Approach to Social Bot Detection
  43. ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce
  44. Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss
  45. ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
  46. STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
  47. Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
  48. S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
  49. IP-FL: Incentivized and Personalized Federated Learning
  50. Multi-View Graph Representation Learning Beyond Homophily
  51. Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation
  52. Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
  53. Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
  54. The 7th AI City Challenge
  55. Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
  56. SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training
  57. Region-Enhanced Feature Learning for Scene Semantic Segmentation
  58. Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
  59. Video Generation Beyond a Single Clip
  60. Hierarchical Interactive Reconstruction Network For Video Compressive Sensing
  61. Efficient Convex Algorithms for Universal Kernel Learning
  62. Few-shot Weakly-supervised Cybersecurity Anomaly Detection
  63. Generating an interactive online map of future sea level rise along the North Shore of Vancouver: methods and insights on enabling geovisualisation for coastal communities
  64. MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation
  65. Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis
  66. Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
  67. Instance-level Few-shot Learning with Class Hierarchy Mining
  68. Context-aware Domain Adaptation for Time Series Anomaly Detection
  69. Multivariate regression modeling in integrative analysis via sparse regularization
  70. Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging
  71. A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
  72. The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
  73. Learning To Optimize Quantum Neural Network Without Gradients
  74. Tractable Control for Autoregressive Language Generation
  75. Medical Question Summarization with Entity-driven Contrastive Learning
  76. Temporally Consistent Online Depth Estimation Using Point-Based Fusion