mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 2 Sep 2023

102 papers

  1. ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  2. An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical SystemsDiffusion models → Flow matching, time series and science
  3. Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English CommunitiesDiffusion models → Image generation, text-to-image and editing
  4. Emergent Linear Representations in World Models of Self-Supervised Sequence ModelsWorld models → World models for language agents
  5. BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation WritingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  6. MagicProp: Diffusion-based Video Editing via Motion-aware Appearance PropagationDiffusion models → Video generation
  7. Tight Bounds for Machine Unlearning via Differential PrivacyLLM safety and security → Machine unlearning
  8. DiCLET-TTS: Diffusion Model based Cross-lingual Emotion Transfer for Text-to-Speech -- A Study between English and MandarinDiffusion models → Audio, speech and music
  9. Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI ReconstructionDiffusion models → Medical imaging and segmentation
  10. RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large ModelDiffusion models → Image generation, text-to-image and editing
  11. Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI ReconstructionDiffusion models → Medical imaging and segmentation
  12. A Fine-Grained Image Description Generation Method Based on Joint Objectives
  13. Gramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories
  14. A Critical Examination of the Ethics of AI-Mediated Peer Review
  15. Short-term power load forecasting method based on CNN-SAEDN-Res
  16. Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks
  17. Self-Supervised Video Transformers for Isolated Sign Language Recognition
  18. League of Legends: Real-Time Result Prediction
  19. Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling
  20. Neurosymbolic Reinforcement Learning and Planning: A Survey
  21. SEPAL: Spatial Gene Expression Prediction from Local Graphs
  22. Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
  23. Online Adaptive Mahalanobis Distance Estimation
  24. Explainability for Large Language Models: A Survey
  25. Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging
  26. On the training and generalization of deep operator networks
  27. Contrastive Grouping with Transformer for Referring Image Segmentation
  28. MPTopic: Improving topic modeling via Masked Permuted pre-training
  29. Streaming Active Learning for Regression Problems Using Regression via Classification
  30. Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
  31. Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset
  32. RevColV2: Exploring Disentangled Representations in Masked Image Modeling
  33. Bayesian sparsity and class sparsity priors for dictionary learning and coding
  34. Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems
  35. Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution
  36. A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters
  37. Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation
  38. Pure Message Passing Can Estimate Common Neighbor for Link Prediction
  39. Deep-Learning Framework for Optimal Selection of Soil Sampling Sites
  40. AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
  41. Compositional Diffusion-Based Continuous Constraint Solvers
  42. eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models
  43. NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping
  44. Network Topology Inference with Sparsity and Laplacian Constraints
  45. Index-aware learning of circuits
  46. Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
  47. ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning
  48. Multilingual Text Representation
  49. From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice
  50. Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search
  51. Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning
  52. Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems
  53. Exploring the Robustness of Human Parsers Towards Common Corruptions
  54. Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation
  55. Deep supervised hashing for fast retrieval of radio image cubes
  56. S3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
  57. GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
  58. Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports
  59. A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
  60. A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading
  61. An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition
  62. Large Process Models: A Vision for Business Process Management in the Age of Generative AI
  63. Regularly Truncated M-estimators for Learning with Noisy Labels
  64. Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
  65. A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
  66. Towards Certified Probabilistic Robustness with High Accuracy
  67. Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning
  68. Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction
  69. Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator
  70. Tutorial: a priori estimation of sample size, effect size, and statistical power for cluster analysis, latent class analysis, and multivariate mixture models
  71. Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment
  72. Big-model Driven Few-shot Continual Learning
  73. Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages
  74. DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal
  75. A Unifying Variational Framework for Gaussian Process Motion Planning
  76. Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach
  77. pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
  78. Domain Generalization via Balancing Training Difficulty and Model Capability
  79. LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs
  80. Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning
  81. Approximating Fair k-Min-Sum-Radii in Euclidean Space
  82. ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data
  83. Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography
  84. When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision
  85. Few shot font generation via transferring similarity guided global style and quantization local style
  86. Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection
  87. Soil Image Segmentation Based on Mask R-CNN
  88. Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
  89. Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
  90. Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making
  91. Deep Learning and Inverse Problems
  92. AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
  93. FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition
  94. LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models
  95. Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
  96. Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
  97. Towards High-Frequency Tracking and Fast Edge-Aware Optimization
  98. Contrastive Feature Masking Open-Vocabulary Vision Transformer
  99. Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
  100. Bias and Fairness in Large Language Models: A Survey
All 102
  1. Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs
  2. Physics-informed machine learning of the correlation functions in bulk fluids