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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance ICCV 2025 DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation ICLR 2025 DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models WACV 2025 DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval AAAI 2025 DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation ICLR 2025 DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization ICML 2025 DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder AAAI 2025 DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models NAACL 2025 DreamRelation: Relation-Centric Video Customization ICCV 2025 DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback NAACL 2025 DreamText: High Fidelity Scene Text Synthesis CVPR 2025 DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking CVPR 2025 Dreamweaver: Learning Compositional World Models from Pixels ICLR 2025 DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025 DReSD: Dense Retrieval for Speculative Decoding ACL 2025 DRES: Fake news detection by dynamic representation and ensemble selection EMNLP 2025 DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing ACL 2025 DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing ICLR 2025 DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation EMNLP 2025 Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025 DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data Flexible Views and Transformed Domains WACV 2025 Drift: Decoding-time Personalized Alignments with Implicit User Preferences EMNLP 2025 Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025 Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth EMNLP 2025 DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving ICCV 2025