Machine Learning

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization ICML 2025 Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs COLING 2025 Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts ICML 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection AAAI 2025 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer ICCV 2025 Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation COLING 2025 Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models EMNLP 2025 AdDriftBench: A Benchmark for Detecting Data Drift and Label Drift in Short Video Advertising EMNLP 2025 A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization ICLR 2025 A deep inverse-mapping model for a flapping robotic wing ICLR 2025 A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision AAAI 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025 A Denoising Pre-training Framework for Accelerating Novel Material Discovery AAAI 2025 A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases ACL 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025 ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression MLHC 2025 ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization ICML 2025 Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models ACL 2025