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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025 DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation ACL 2025 DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting EMNLP 2025 DPL: Diverse Preference Learning Without A Reference Model NAACL 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities IJCAI 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection CVPR 2025 DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics ACL 2025 Drafting and Revision: Advancing High-Fidelity Video Inpainting IJCAI 2025 Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025 D-RAG: Differentiable Retrieval-Augmented Generation for Knowledge Graph Question Answering EMNLP 2025 DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation ACL 2025 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model ICML 2025 DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation ICML 2025 DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers ACL 2025 Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient ICLR 2025 Drawing Developmental Trajectory from Cortical Surface Reconstruction ICCV 2025 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025 Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models ICCV 2025 DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization EMNLP 2025 DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off EMNLP 2025