Machine Learning

AniSan@NLU of Devanagari Script Languages 2025: Optimizing Language Identification with Ensemble Learning COLING 2025 An Iterative Algorithm for Rescaled Hyperbolic Functions Regression AISTATS 2025 An LLM-Based Approach for Insight Generation in Data Analysis NAACL 2025 An LLM-based Temporal-spatial Data Generation and Fusion Approach for Early Detection of Late Onset Alzheimer’s Disease (LOAD) Stagings Especially in Chinese and English-speaking Populations EMNLP 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025 Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions ICML 2025 AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations ICCV 2025 Annotating and Inferring Compositional Structures in Numeral Systems Across Languages ACL 2025 Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025 Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models EMNLP 2025 Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation CVPR 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation IJCNLP 2025 A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025 AnoLLM: Large Language Models for Tabular Anomaly Detection ICLR 2025 Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application ICCV 2025 AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025 AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios CVPR 2025 Anomize: Better Open Vocabulary Video Anomaly Detection CVPR 2025 A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation ICLR 2025 An Online Learning Theory of Trading-Volume Maximization ICLR 2025 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy WACV 2025 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 An OpenMind for 3D Medical Vision Self-supervised Learning ICCV 2025