mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 3 Jun 2023

109 papers

  1. Forgettable Federated Linear Learning with Certified Data UnlearningLLM safety and security → Federated unlearning and poisoning
  2. Training Data Attribution for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  3. Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  4. Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential EquationsDiffusion models → Diffusion foundations and sampling
  5. DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingDiffusion models → Flow matching, time series and science
  6. Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
  7. An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning
  8. On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness
  9. Word-Level Explanations for Analyzing Bias in Text-to-Image Models
  10. JGAT: a joint spatio-temporal graph attention model for brain decoding
  11. Data driven localized wave solution of the Fokas-Lenells equation using modified PINN
  12. Guided scenarios with simulated expert personae: a remarkable strategy to perform cognitive work
  13. Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis
  14. Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
  15. Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA
  16. GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
  17. Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
  18. SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts
  19. Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
  20. Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator
  21. Cycle Consistency Driven Object Discovery
  22. Shrinking Embeddings for Hyper-Relational Knowledge Graphs
  23. Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection
  24. LDEB -- Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues
  25. Correcting Auto-Differentiation in Neural-ODE Training
  26. Stubborn Lexical Bias in Data and Models
  27. FlairNLP at SemEval-2023 Task 6b: Extraction of Legal Named Entities from Legal Texts using Contextual String Embeddings
  28. Towards Coding Social Science Datasets with Language Models
  29. TransRUPNet for Improved Polyp Segmentation
  30. TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
  31. Probabilistic Solar Proxy Forecasting with Neural Network Ensembles
  32. Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
  33. Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
  34. Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
  35. Automated Architecture Synthesis for Arbitrarily Structured Neural Networks
  36. Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
  37. An information field theory approach to Bayesian state and parameter estimation in dynamical systems
  38. A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
  39. A two-way translation system of Chinese sign language based on computer vision
  40. Hierarchical Multiresolution Feature- and Prior-based Graphs for Classification
  41. TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain
  42. Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT
  43. Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection
  44. Financial sentiment analysis using FinBERT with application in predicting stock movement
  45. Graph Mover's Distance: An Efficiently Computable Distance Measure for Geometric Graphs
  46. Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
  47. Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data
  48. Oversmoothing: A Nightmare for Graph Contrastive Learning?
  49. Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models
  50. Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
  51. Random matrix theory and the loss surfaces of neural networks
  52. Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models
  53. Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations
  54. Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
  55. Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers
  56. Segment Anything Meets Semantic Communication
  57. Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations
  58. Deep Classifier Mimicry without Data Access
  59. Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution
  60. Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer
  61. Message-passing selection: Towards interpretable GNNs for graph classification
  62. Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN
  63. Utilizing ChatGPT to Enhance Clinical Trial Enrollment
  64. A Conditional Generative Chatbot using Transformer Model
  65. DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
  66. MultiLegalPile: A 689GB Multilingual Legal Corpus
  67. Variational Gaussian Process Diffusion Processes
  68. Unlearnable Examples Give a False Sense of Data Privacy: Understanding and Relearning
  69. Balancing Logit Variation for Long-tailed Semantic Segmentation
  70. Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
  71. Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing
  72. A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers
  73. Provable Dynamic Fusion for Low-Quality Multimodal Data
  74. LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
  75. Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews
  76. Impact of translation on biomedical information extraction from real-life clinical notes
  77. Span Identification of Epistemic Stance-Taking in Academic Written English
  78. DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
  79. Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
  80. Evolving Knowledge Mining for Class Incremental Segmentation
  81. Exploring Global and Local Information for Anomaly Detection with Normal Samples
  82. ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation
  83. Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method
  84. Generative Adversarial Networks for Data Augmentation
  85. VideoComposer: Compositional Video Synthesis with Motion Controllability
  86. Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics
  87. Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
  88. Memorization Capacity of Multi-Head Attention in Transformers
  89. MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
  90. On Optimal Caching and Model Multiplexing for Large Model Inference
  91. Can Directed Graph Neural Networks be Adversarially Robust?
  92. Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
  93. GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network
  94. UADB: Unsupervised Anomaly Detection Booster
  95. Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits
  96. Provable benefits of score matching
  97. On Size-Independent Sample Complexity of ReLU Networks
  98. A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
  99. Incentivizing Exploration with Linear Contexts and Combinatorial Actions
  100. Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
All 109
  1. A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast
  2. COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
  3. Mitigating Backdoor Attack Via Prerequisite Transformation
  4. SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization
  5. Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning
  6. AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn
  7. Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
  8. GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
  9. Over-the-Air Federated Learning In Broadband Communication