mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 19 Nov 2022

105 papers

  1. DeepGAR: Deep Graph Learning for Analogical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  2. NVDiff: Graph Generation through the Diffusion of Node VectorsDiffusion models → Flow matching, time series and science
  3. Exploring validation metrics for offline model-based optimisation with diffusion modelsDiffusion models → Diffusion foundations and sampling
  4. Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
  5. Parallel Diffusion Models of Operator and Image for Blind Inverse ProblemsDiffusion models → Inverse problems and image restoration
  6. Solving 3D Inverse Problems using Pre-trained 2D Diffusion ModelsDiffusion models → Medical imaging and segmentation
  7. MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D PerceptionWorld models → World models for autonomous driving
  8. Prediction-aware and Reinforcement Learning based Altruistic Cooperative DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
  9. Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories
  10. First Competitive Ant Colony Scheme for the CARP
  11. A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
  12. Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
  13. Representations of Domains via CF-approximation Spaces
  14. A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning
  15. Cultural Incongruencies in Artificial Intelligence
  16. GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features
  17. ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
  18. A survey on knowledge-enhanced multimodal learning
  19. Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning
  20. Reconstructing high-order sequence features of dynamic functional connectivity networks based on diversified covert attention patterns for Alzheimer's disease classification
  21. Block size estimation for data partitioning in HPC applications using machine learning techniques
  22. Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design
  23. Face Swapping as A Simple Arithmetic Operation
  24. Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization
  25. Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models
  26. On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
  27. Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
  28. An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
  29. Quantifying Human Bias and Knowledge to guide ML models during Training
  30. BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
  31. AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation
  32. Simple and Effective Augmentation Methods for CSI Based Indoor Localization
  33. Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
  34. ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
  35. Non-Coherent Over-the-Air Decentralized Gradient Descent
  36. A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
  37. DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
  38. PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
  39. Evaluating Synthetic Tabular Data Generated To Augment Small Sample Datasets
  40. Investigating the Potential of Artificial Intelligence Powered Interfaces to Support Different Types of Memory for People with Dementia
  41. HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
  42. Towards Robust Dataset Learning
  43. Delay-aware Backpressure Routing Using Graph Neural Networks
  44. EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
  45. Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
  46. Accuracy Booster: Enabling 4-bit Fixed-point Arithmetic for DNN Training
  47. Passive Micron-scale Time-of-Flight with Sunlight Interferometry
  48. Intelligence Processing Units Accelerate Neuromorphic Learning
  49. Deep Smart Contract Intent Detection
  50. Single Stage Multi-Pose Virtual Try-On
  51. PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning
  52. A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors
  53. Metaphorical Language Change Is Self-Organized Criticality
  54. A Survey on Differential Privacy with Machine Learning and Future Outlook
  55. Suffering from Vaccines or from Government? : Partisan Bias in COVID-19 Vaccine Adverse Events Coverage
  56. TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer
  57. Complementary Labels Learning with Augmented Classes
  58. Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
  59. convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
  60. ReInform: Selecting paths with reinforcement learning for contextualized link prediction
  61. Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
  62. Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
  63. Personalized Federated Learning with Hidden Information on Personalized Prior
  64. DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
  65. Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
  66. Entity-Assisted Language Models for Identifying Check-worthy Sentences
  67. Towards Adversarial Robustness of Deep Vision Algorithms
  68. VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement
  69. EDGE: Editable Dance Generation From Music
  70. LibSignal: An Open Library for Traffic Signal Control
  71. Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
  72. Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
  73. On the Multidimensional Augmentation of Fingerprint Data for Indoor Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian Process
  74. Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
  75. EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
  76. Explainable fetal ultrasound quality assessment with progressive concept bottleneck models
  77. Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
  78. EGRC-Net: Embedding-induced Graph Refinement Clustering Network
  79. A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset
  80. Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
  81. Class-Specific Attention (CSA) for Time-Series Classification
  82. Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement
  83. LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
  84. Adjacent Slice Feature Guided 2.5D Network for Pulmonary Nodule Segmentation
  85. Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems
  86. Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection
  87. Autoregressive GNN-ODE GRU Model for Network Dynamics
  88. Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
  89. Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation
  90. Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
  91. Linear RNNs Provably Learn Linear Dynamic Systems
  92. Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
  93. Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
  94. Tired of Over-smoothing? Stress Graph Drawing Is All You Need!
  95. ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
  96. Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
  97. CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
  98. Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting
  99. Gumbel-Softmax Selective Networks
  100. Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
All 105
  1. Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds
  2. A Practical Stereo Depth System for Smart Glasses
  3. Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
  4. Local Contrastive Feature learning for Tabular Data
  5. Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model