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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework CVPR 2025 DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification COLING 2025 DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution CVPR 2025 DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI CVPR 2025 DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference ACL 2025 DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition NAACL 2025 DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation ICML 2025 Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs ICLR 2025 Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025 DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation ICCV 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS AAAI 2025 Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection AAAI 2025 Each graph is a new language: Graph Learning with LLMs ACL 2025 EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025 EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025 Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders ICLR 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification ICML 2025 EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025 EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction CVPR 2025 EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization ICML 2025 Earley-Driven Dynamic Pruning for Efficient Structured Decoding ICML 2025 Early Alignment in Two-Layer Networks Training is a Two-Edged Sword JMLR 2025 Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training CVPR 2025 Early Concept Drift Detection via Prediction Uncertainty AAAI 2025