mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 19 Aug 2023

125 papers

  1. UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  2. Robust Mixture-of-Expert Training for Convolutional Neural NetworksMixture-of-experts → Vision mixture-of-experts
  3. MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence GuidanceDiffusion models → Video generation
  4. ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera CollaborationOffline RL and imitation learning from data → Imitation learning methods
  5. DPL: Decoupled Prompt Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  6. ControlCom: Controllable Image Composition using Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  7. AltDiffusion: A Multilingual Text-to-Image Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  8. Disposable Transfer Learning for Selective Source Task UnlearningLLM safety and security → Machine unlearning
  9. BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual QuestionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  10. MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed RecognitionKnowledge distillation → General knowledge distillation methods
  11. DiffusionTrack: Diffusion Model For Multi-Object TrackingDiffusion models → Image generation, text-to-image and editing
  12. RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM AgentsLLM agents and tool use → Agentic recommender systems
  13. DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion CustomizationDiffusion models → Robustness, privacy and adversarial aspects +1
  14. Generative Adversarial Networks UnlearningLLM safety and security → Vision-language and text-to-image safety
  15. OCTAL: Graph Representation Learning for LTL Model Checking
  16. Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield
  17. Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling
  18. Distributionally Robust Cross Subject EEG Decoding
  19. Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
  20. Exploring the Power of Topic Modeling Techniques in Analyzing Customer Reviews: A Comparative Analysis
  21. Optimizing Multi-Class Text Classification: A Diverse Stacking Ensemble Framework Utilizing Transformers
  22. MLOps: A Review
  23. Analyzing Quantization in TVM
  24. Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
  25. 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
  26. HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation
  27. Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets
  28. Modeling Random Networks with Heterogeneous Reciprocity
  29. PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
  30. Controllable Multi-domain Semantic Artwork Synthesis
  31. Bayes Risk Transducer: Transducer with Controllable Alignment Prediction
  32. ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
  33. An Online Multiple Kernel Parallelizable Learning Scheme
  34. Geometric instability of graph neural networks on large graphs
  35. An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
  36. Securing Pathways with Orthogonal Robots
  37. Open, Closed, or Small Language Models for Text Classification?
  38. Minimizing Turns in Watchman Robot Navigation: Strategies and Solutions
  39. Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos
  40. PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
  41. GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
  42. Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views
  43. Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
  44. R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision
  45. Robust Fraud Detection via Supervised Contrastive Learning
  46. Large Language Models as Zero-Shot Conversational Recommenders
  47. The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
  48. Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks
  49. An Empirical Study of CLIP for Text-based Person Search
  50. Computing the Vapnik Chervonenkis Dimension for Non-Discrete Settings
  51. Physics-guided training of GAN to improve accuracy in airfoil design synthesis
  52. High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
  53. Semi-Supervised Anomaly Detection for the Determination of Vehicle Hijacking Tweets
  54. CRC-ICM: Colorectal Cancer Immune Cell Markers Pattern Dataset
  55. GameEval: Evaluating LLMs on Conversational Games
  56. Single Image Reflection Separation via Component Synergy
  57. I3: Intent-Introspective Retrieval Conditioned on Instructions
  58. Effects of Convolutional Autoencoder Bottleneck Width on StarGAN-based Singing Technique Conversion
  59. Dissecting RGB-D Learning for Improved Multi-modal Fusion
  60. Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
  61. DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection
  62. Semi-Implicit Variational Inference via Score Matching
  63. Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
  64. Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method
  65. AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
  66. TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras
  67. TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo
  68. ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
  69. HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
  70. Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
  71. Breast Lesion Diagnosis Using Static Images and Dynamic Video
  72. Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust
  73. Whether you can locate or not? Interactive Referring Expression Generation
  74. Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
  75. FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
  76. DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
  77. Tackling Vision Language Tasks Through Learning Inner Monologues
  78. Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
  79. NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
  80. Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
  81. A Comparison of Adversarial Learning Techniques for Malware Detection
  82. Data-to-text Generation for Severely Under-Resourced Languages with GPT-3.5: A Bit of Help Needed from Google Translate
  83. To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks
  84. DocTER: Evaluating Document-based Knowledge Editing
  85. UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
  86. Finding emergence in data by maximizing effective information
  87. Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos
  88. Scene-Aware Feature Matching
  89. Study on the effectiveness of AutoML in detecting cardiovascular disease
  90. Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
  91. Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
  92. On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
  93. Understanding Self-attention Mechanism via Dynamical System Perspective
  94. Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
  95. TDG: Text-guided Domain Generalization
  96. East: Efficient and Accurate Secure Transformer Framework for Inference
  97. Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
  98. Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
  99. VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
  100. EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning
All 125
  1. Noisy-Correspondence Learning for Text-to-Image Person Re-identification
  2. Physics-Guided Human Motion Capture with Pose Probability Modeling
  3. Never Explore Repeatedly in Multi-Agent Reinforcement Learning
  4. LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
  5. Imputing Brain Measurements Across Data Sets via Graph Neural Networks
  6. Scalable Video Object Segmentation with Simplified Framework
  7. DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
  8. Towards a High-Performance Object Detector: Insights from Drone Detection Using ViT and CNN-based Deep Learning Models
  9. Spatial-Temporal Alignment Network for Action Recognition
  10. Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs
  11. Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
  12. Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing
  13. Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
  14. SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM
  15. Inductive-bias Learning: Generating Code Models with Large Language Model
  16. On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
  17. Calibrating Uncertainty for Semi-Supervised Crowd Counting
  18. A Transformer-based Framework For Multi-variate Time Series: A Remaining Useful Life Prediction Use Case
  19. Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
  20. Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
  21. DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
  22. Skill Transformer: A Monolithic Policy for Mobile Manipulation
  23. A Theory of Topological Derivatives for Inverse Rendering of Geometry
  24. Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
  25. Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method