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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Data Unlearning in Diffusion Models ICLR 2025 Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models NAACL 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning EMNLP 2025 DateLogicQA: Benchmarking Temporal Biases in Large Language Models NAACL 2025 D-Attn: Decomposed Attention for Large Vision-and-Language Model ICCV 2025 David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training ICML 2025 DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models ICCV 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers CVPR 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 DCA: Dividing and Conquering Amnesia in Incremental Object Detection AAAI 2025 DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer ICCV 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models ICML 2025 DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features COLING 2025 DCC: Differentiable Cardinality Constraints for Partial Index Tracking AAAI 2025 DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models ICCV 2025 DCE-LLM: Dead Code Elimination with Large Language Models NAACL 2025 DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion CVPR 2025 DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph ACL 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search EMNLP 2025