mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 9 Apr 2023

77 papers

  1. Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized LearningKnowledge distillation → Federated, robust and private distillation
  2. HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image GenerationDiffusion models → 3D, point cloud and scene generation
  3. A Comprehensive Survey on Knowledge Distillation of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  6. CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  7. Hi Sheldon! Creating Deep Personalized Characters from TV Shows
  8. A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
  9. Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance
  10. Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
  11. Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
  12. Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
  13. ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes
  14. On the dice loss gradient and the ways to mimic it
  15. Microseismic source imaging using physics-informed neural networks with hard constraints
  16. Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
  17. Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
  18. PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling
  19. Class-Imbalanced Learning on Graphs: A Survey
  20. Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
  21. AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources
  22. ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis
  23. Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation
  24. FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain
  25. Point-SLAM: Dense Neural Point Cloud-based SLAM
  26. Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning
  27. Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
  28. Embarrassingly Simple MixUp for Time-series
  29. RGB-T Tracking Based on Mixed Attention
  30. CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
  31. A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
  32. A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
  33. Secure Routing Protocol To Mitigate Attacks By Using Blockchain Technology In Manet
  34. Editable User Profiles for Controllable Text Recommendation
  35. Curricular Object Manipulation in LiDAR-based Object Detection
  36. Data-driven multinomial random forest
  37. Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
  38. Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention
  39. Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations
  40. Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
  41. Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions
  42. Transformer Utilization in Medical Image Segmentation Networks
  43. CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
  44. Towards Active Learning for Action Spotting in Association Football Videos
  45. The Study of Highway for Lifelong Multi-Agent Path Finding
  46. RISC: Generating Realistic Synthetic Bilingual Insurance Contract
  47. AGAD: Adversarial Generative Anomaly Detection
  48. Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
  49. OpenDriver: An Open-Road Driver State Detection Dataset
  50. DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames
  51. Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks
  52. Extractive Summarization via ChatGPT for Faithful Summary Generation
  53. Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques
  54. Similarity-Aware Multimodal Prompt Learning for Fake News Detection
  55. BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo
  56. Nearest-Neighbor Sampling Based Conditional Independence Testing
  57. Sparse Dense Fusion for 3D Object Detection
  58. Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
  59. μ2-SGD: Stable Stochastic Optimization via a Double Momentum Mechanism
  60. SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
  61. Adversarially Robust Neural Architecture Search for Graph Neural Networks
  62. Experience-Based Evolutionary Algorithms for Expensive Optimization
  63. Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
  64. Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
  65. Detection of COVID19 in Chest X-Ray Images Using Transfer Learning
  66. Does Continual Learning Equally Forget All Parameters?
  67. An investigation of phrase break prediction in an End-to-End TTS system
  68. Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
  69. Continual Graph Convolutional Network for Text Classification
  70. RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
  71. Reweighted Mixup for Subpopulation Shift
  72. FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
  73. Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization
  74. Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label Domains
  75. RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
  76. Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning
  77. NeRF applied to satellite imagery for surface reconstruction