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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models ICLR 2025 Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization CVPR 2025 ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters AAAI 2025 ReMatching Dynamic Reconstruction Flow ICLR 2025 RemDet: Rethinking Efficient Model Design for UAV Object Detection AAAI 2025 REMEDY: Recipe Merging Dynamics in Large Vision-Language Models ICLR 2025 ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing ICLR 2025 ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models AAAI 2025 Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios CVPR 2025 Remove Symmetries to Control Model Expressivity and Improve Optimization ICLR 2025 Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025 Removing Out-of-Focus Reflective Flares via Color Alignment ICCV 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025 ReMP: Reusable Motion Prior for Multi-Domain 3D Human Pose Estimation and Motion Inbetweening WACV 2025 RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation WACV 2025 ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 Rényi Neural Processes ICML 2025 REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers ICCV 2025 RePanda: Pandas-powered Tabular Verification and Reasoning ACL 2025 REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities ACL 2025 RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers ICML 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater AAAI 2025