{"total":22,"rows":[{"id":"2501.13787","title":"Parameter-Efficient Fine-Tuning for Foundation Models","created":"2025-01-23","cited_by_count":45,"area":null},{"id":"2502.00987","title":"RandLoRA: Full-rank parameter-efficient fine-tuning of large models","created":"2025-02-03","cited_by_count":35,"area":null},{"id":"2412.09442","title":"Advancing Textual Prompt Learning with Anchored Attributes","created":"2024-12-12","cited_by_count":20,"area":null},{"id":"2410.06558","title":"Deep Correlated Prompting for Visual Recognition with Missing Modalities","created":"2024-10-09","cited_by_count":18,"area":null},{"id":"2506.16330","title":"Reliable Few-shot Learning under Dual Noises","created":"2025-06-19","cited_by_count":17,"area":null},{"id":"2310.03843","title":"From Channel Bias to Feature Redundancy: Uncovering the \"Less is More\" Principle in Few-Shot Learning","created":"2023-10-05","cited_by_count":10,"area":null},{"id":"2506.23271","title":"Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation","created":"2025-06-29","cited_by_count":10,"area":null},{"id":"2507.07802","title":"Synergistic Prompting for Robust Visual Recognition with Missing Modalities","created":"2025-07-10","cited_by_count":8,"area":null},{"id":"2312.12478","title":"ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval","created":"2023-12-19","cited_by_count":6,"area":null},{"id":"2510.03701","title":"Referring Expression Comprehension for Small Objects","created":"2025-10-04","cited_by_count":6,"area":null},{"id":"2506.09105","title":"MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning","created":"2025-06-10","cited_by_count":4,"area":null},{"id":"2506.03706","title":"OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation","created":"2025-06-04","cited_by_count":2,"area":null},{"id":"2507.17588","title":"Dual-branch Prompting for Multimodal Machine Translation","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2512.00115","title":"MoLT: Mixture of Layer-Wise Tokens for Efficient Audio-Visual Learning","created":"2025-11-27","cited_by_count":2,"area":null},{"id":"2512.07208","title":"Geometric Prior-Guided Federated Prompt Calibration","created":"2025-12-08","cited_by_count":2,"area":null},{"id":"2407.13808","title":"CoAPT: Context Attribute words for Prompt Tuning","created":"2024-07-18","cited_by_count":1,"area":null},{"id":"2510.04770","title":"Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2511.21188","title":"AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2505.08283","title":"DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2511.21705","title":"Insight-A: Attribution-aware for Multimodal Misinformation Detection","created":"2025-11-17","cited_by_count":0,"area":null},{"id":"2511.23070","title":"Buffer replay enhances the robustness of multimodal learning under missing-modality","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2606.30597","title":"Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities","created":"2026-06-29","cited_by_count":0,"area":null}],"next_cursor":null}