{"total":21,"rows":[{"id":"2407.18242","title":"LoRA-Pro: Are Low-Rank Adapters Properly Optimized?","created":"2024-07-25","cited_by_count":77,"area":null},{"id":"2402.04087","title":"A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation","created":"2024-02-06","cited_by_count":53,"area":null},{"id":"2312.07353","title":"CLIP in Medical Imaging: A Survey","created":"2023-12-12","cited_by_count":40,"area":null},{"id":"2404.07713","title":"Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning","created":"2024-04-11","cited_by_count":17,"area":null},{"id":"2404.14808","title":"Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning","created":"2024-04-23","cited_by_count":16,"area":null},{"id":"2401.01598","title":"Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning","created":"2024-01-03","cited_by_count":12,"area":null},{"id":"2407.03036","title":"SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning","created":"2024-07-03","cited_by_count":12,"area":null},{"id":"2408.05974","title":"Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection","created":"2024-08-12","cited_by_count":11,"area":null},{"id":"2504.12104","title":"Logits DeConfusion with CLIP for Few-Shot Learning","created":"2025-04-16","cited_by_count":11,"area":null},{"id":"2406.02929","title":"ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning","created":"2024-06-05","cited_by_count":10,"area":null},{"id":"2401.15657","title":"Data-Free Generalized Zero-Shot Learning","created":"2024-01-28","cited_by_count":8,"area":null},{"id":"2505.11882","title":"GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder","created":"2025-05-17","cited_by_count":5,"area":null},{"id":"2502.07830","title":"Captured by Captions: On Memorization and its Mitigation in CLIP Models","created":"2025-02-11","cited_by_count":4,"area":null},{"id":"2407.02846","title":"Multi-Task Domain Adaptation for Language Grounding with 3D Objects","created":"2024-07-03","cited_by_count":2,"area":null},{"id":"2507.06814","title":"HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2406.03032","title":"Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2412.03093","title":"Expanding Event Modality Applications through a Robust CLIP-Based Encoder","created":"2024-12-04","cited_by_count":1,"area":null},{"id":"2412.18282","title":"Improved Feature Generating Framework for Transductive Zero-shot Learning","created":"2024-12-24","cited_by_count":0,"area":null},{"id":"2603.06281","title":"Learning Adaptive and Visually Aligned Conditions for Generative Zero-Shot Learning","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.17412","title":"Mutually Causal Semantic Distillation Network for Zero-Shot Learning","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2604.19432","title":"DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval","created":"2026-04-21","cited_by_count":0,"area":null}],"next_cursor":null}