mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 25 Jun 2023

100 papers

  1. CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?Diffusion models → Medical imaging and segmentation
  2. Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  3. Feature Adversarial Distillation for Point Cloud ClassificationKnowledge distillation → Detection and dense prediction distillation
  4. Enhancing Mapless Trajectory Prediction through Knowledge DistillationKnowledge distillation → Multimodal distillation
  5. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataDiffusion models → Diffusion foundations and sampling
  6. DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image DatasetsDiffusion models → Medical imaging and segmentation
  7. Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation ExtractionLLM reasoning → Multimodal reasoning
  8. Enhancing Dynamic Image Advertising with Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  9. Is RLHF More Difficult than Standard RL?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  10. High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion
  11. Improving Video Colorization by Test-Time Tuning
  12. Steganographic Capacity of Deep Learning Models
  13. Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms
  14. A differentiable Gaussian Prototype Layer for explainable Segmentation
  15. PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
  16. Smart Transformation of EFL Teaching and Learning Approaches
  17. Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
  18. Utilizing deep learning for automated tuning of database management systems
  19. Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design
  20. Fast Classification with Sequential Feature Selection in Test Phase
  21. Evolution of K-means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis
  22. TCE: A Test-Based Approach to Measuring Calibration Error
  23. GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily
  24. Computational Asymmetries in Robust Classification
  25. The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
  26. RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
  27. Im2win: Memory Efficient Convolution On SIMD Architectures
  28. Im2win: An Efficient Convolution Paradigm on GPU
  29. G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
  30. A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing
  31. Addressing Cold Start Problem for End-to-end Automatic Speech Scoring
  32. Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
  33. Screening Autism Spectrum Disorder in children using Deep Learning Approach : Evaluating the classification model of YOLOv26s by comparing with other models
  34. Inference for relative sparsity
  35. Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation
  36. Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
  37. Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
  38. Near Optimal Heteroscedastic Regression with Symbiotic Learning
  39. Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
  40. Learning Broadcast Protocols
  41. Enhancing Adversarial Training via Reweighting Optimization Trajectory
  42. MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
  43. Weakly Supervised Scene Text Generation for Low-resource Languages
  44. Adaptive Window Pruning for Efficient Local Motion Deblurring
  45. Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck
  46. Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
  47. A Spectral Perspective towards Understanding and Improving Adversarial Robustness
  48. HOKEM: Human and Object Keypoint-based Extension Module for Human-Object Interaction Detection
  49. Improving Reference-based Distinctive Image Captioning with Contrastive Rewards
  50. A Neural RDE approach for continuous-time non-Markovian stochastic control problems
  51. A Self-Encoder for Learning Nearest Neighbors
  52. A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention
  53. AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net
  54. Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation
  55. FedSampling: A Better Sampling Strategy for Federated Learning
  56. Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
  57. A ground-based dataset and a diffusion model for on-orbit low-light image enhancement
  58. Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
  59. On Evaluating the Adversarial Robustness of Semantic Segmentation Models
  60. Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc
  61. Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential Elections
  62. Autoencoders for a manifold learning problem with a Jacobian rank constraint
  63. α-β-Factorization and the Binary Case of Simon's Congruence
  64. PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection
  65. Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input
  66. Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
  67. A Framework for dynamically meeting performance objectives on a service mesh
  68. Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension
  69. A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity
  70. Interactive Design by Integrating a Large Pre-Trained Language Model and Building Information Modeling
  71. BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction
  72. Low-Rank Prune-And-Factorize for Language Model Compression
  73. SciMRC: Multi-perspective Scientific Machine Reading Comprehension
  74. DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
  75. A Gated Cross-domain Collaborative Network for Underwater Object Detection
  76. Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
  77. Interpretable Neural Embeddings with Sparse Self-Representation
  78. Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
  79. Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
  80. Masked conditional variational autoencoders for chromosome straightening
  81. Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
  82. Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
  83. Object Detection based on the Collection of Geometric Evidence
  84. SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
  85. Machine Learning and Consumer Data
  86. The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect Detection
  87. Towards Trustworthy Explanation: On Causal Rationalization
  88. TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
  89. Exploring Data Redundancy in Real-world Image Classification through Data Selection
  90. When SAM Meets Sonar Images
  91. SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera
  92. Semi-supervised Object Detection: A Survey on Recent Research and Progress
  93. A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification
  94. Language models are weak learners
  95. Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
  96. Chinese Fine-Grained Financial Sentiment Analysis with Large Language Models
  97. Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
  98. Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion
  99. A Circuit Complexity Formulation of Algorithmic Information Theory
  100. Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction