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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency ICLR 2025 Loose Social-Interaction Recognition in Real-World Therapy Scenarios WACV 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models ICLR 2025 LoRACLR: Contrastive Adaptation for Customization of Diffusion Models CVPR 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning ICLR 2025 LoRA-Pro: Are Low-Rank Adapters Properly Optimized? ICLR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks COLING 2025 LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning CVPR 2025 LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem EMNLP 2025 LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models ICCV 2025 LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation ICLR 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization WACV 2025 LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization EMNLP 2025 Loss Functions for Predictor-based Neural Architecture Search ICCV 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding ICLR 2025