{"total":147,"rows":[{"id":"2210.03117","title":"MaPLe: Multi-modal Prompt Learning","created":"2022-10-06","cited_by_count":687,"area":null},{"id":"2403.14608","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","created":"2024-03-21","cited_by_count":656,"area":null},{"id":"2303.15361","title":"A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts","created":"2023-03-27","cited_by_count":359,"area":null},{"id":"2307.06948","title":"Self-regulating Prompts: Foundational Model Adaptation without Forgetting","created":"2023-07-13","cited_by_count":272,"area":null},{"id":"2303.13899","title":"Robust Test-Time Adaptation in Dynamic Scenarios","created":"2023-03-24","cited_by_count":189,"area":null},{"id":"2411.03350","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","created":"2024-11-04","cited_by_count":127,"area":null},{"id":"2302.00864","title":"CLIPood: Generalizing CLIP to Out-of-Distributions","created":"2023-02-02","cited_by_count":96,"area":null},{"id":"2308.13320","title":"Fine-tuning can cripple your foundation model; preserving features may be the solution","created":"2023-08-25","cited_by_count":96,"area":null},{"id":"2304.01195","title":"Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement","created":"2023-04-03","cited_by_count":84,"area":null},{"id":"2404.01650","title":"Test-Time Model Adaptation with Only Forward Passes","created":"2024-04-02","cited_by_count":74,"area":null},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61,"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":"2210.02390","title":"Bayesian Prompt Learning for Image-Language Model Generalization","created":"2022-10-05","cited_by_count":51,"area":null},{"id":"2505.20633","title":"Test-Time Learning for Large Language Models","created":"2025-05-27","cited_by_count":50,"area":null},{"id":"2212.01758","title":"Improving Zero-shot Generalization and Robustness of Multi-modal Models","created":"2022-12-04","cited_by_count":45,"area":null},{"id":"2501.13787","title":"Parameter-Efficient Fine-Tuning for Foundation Models","created":"2025-01-23","cited_by_count":45,"area":null},{"id":"2310.20199","title":"In Search of Lost Online Test-time Adaptation: A Survey","created":"2023-10-31","cited_by_count":44,"area":null},{"id":"2305.18287","title":"LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections","created":"2023-05-29","cited_by_count":43,"area":null},{"id":"2311.15243","title":"ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection","created":"2023-11-26","cited_by_count":42,"area":null},{"id":"2305.07437","title":"Continual Vision-Language Representation Learning with Off-Diagonal Information","created":"2023-05-11","cited_by_count":40,"area":null},{"id":"2302.06235","title":"A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models","created":"2023-02-13","cited_by_count":39,"area":null},{"id":"2309.07929","title":"Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer","created":"2023-09-13","cited_by_count":37,"area":null},{"id":"2302.09251","title":"StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization","created":"2023-02-18","cited_by_count":36,"area":null},{"id":"2304.08386","title":"Progressive Visual Prompt Learning with Contrastive Feature Re-formation","created":"2023-04-17","cited_by_count":36,"area":null},{"id":"2305.06061","title":"Visual Tuning","created":"2023-05-10","cited_by_count":34,"area":null},{"id":"2401.01736","title":"Few-shot Adaptation of Multi-modal Foundation Models: A Survey","created":"2024-01-03","cited_by_count":28,"area":null},{"id":"2407.13588","title":"Robust Calibration of Large Vision-Language Adapters","created":"2024-07-18","cited_by_count":28,"area":null},{"id":"2306.08713","title":"What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations","created":"2023-06-14","cited_by_count":25,"area":null},{"id":"2402.10099","title":"Any-Shift Prompting for Generalization over Distributions","created":"2024-02-15","cited_by_count":24,"area":null},{"id":"2405.02797","title":"Adapting to Distribution Shift by Visual Domain Prompt Generation","created":"2024-05-05","cited_by_count":23,"area":null},{"id":"2501.18592","title":"Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models","created":"2025-01-30","cited_by_count":23,"area":null},{"id":"2410.20346","title":"Historical Test-time Prompt Tuning for Vision Foundation Models","created":"2024-10-27","cited_by_count":22,"area":null},{"id":"2404.15655","title":"Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering","created":"2024-04-24","cited_by_count":21,"area":null},{"id":"2309.08513","title":"SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels","created":"2023-09-15","cited_by_count":20,"area":null},{"id":"2404.00710","title":"Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization","created":"2024-03-31","cited_by_count":20,"area":null},{"id":"2404.05426","title":"Test-Time Zero-Shot Temporal Action Localization","created":"2024-04-08","cited_by_count":19,"area":null},{"id":"2410.03782","title":"DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation","created":"2024-10-03","cited_by_count":19,"area":null},{"id":"2503.10468","title":"OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary","created":"2025-03-13","cited_by_count":17,"area":null},{"id":"2505.16441","title":"Ranked Entropy Minimization for Continual Test-Time Adaptation","created":"2025-05-22","cited_by_count":17,"area":null},{"id":"2311.09191","title":"Domain Aligned CLIP for Few-shot Classification","created":"2023-11-15","cited_by_count":16,"area":null},{"id":"2503.17940","title":"FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation","created":"2025-03-23","cited_by_count":16,"area":null},{"id":"2302.14309","title":"Temporal Coherent Test-Time Optimization for Robust Video Classification","created":"2023-02-28","cited_by_count":15,"area":null},{"id":"2505.11883","title":"MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging","created":"2025-05-17","cited_by_count":14,"area":null},{"id":"2506.17307","title":"Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation","created":"2025-06-18","cited_by_count":14,"area":null},{"id":"2309.06799","title":"When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System","created":"2023-09-13","cited_by_count":13,"area":null},{"id":"2401.04651","title":"Learning to Prompt Segment Anything Models","created":"2024-01-09","cited_by_count":13,"area":null},{"id":"2303.02909","title":"Dynamic Prompting: A Unified Framework for Prompt Tuning","created":"2023-03-06","cited_by_count":12,"area":null},{"id":"2306.10191","title":"Neural Priming for Sample-Efficient Adaptation","created":"2023-06-16","cited_by_count":12,"area":null},{"id":"2309.14580","title":"CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss","created":"2023-09-26","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":"2410.01573","title":"PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation","created":"2024-10-02","cited_by_count":12,"area":null},{"id":"2507.15542","title":"HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation","created":"2025-07-21","cited_by_count":12,"area":null},{"id":"2508.20265","title":"Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation","created":"2025-08-27","cited_by_count":12,"area":null},{"id":"2303.07476","title":"Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision","created":"2023-03-13","cited_by_count":11,"area":null},{"id":"2309.15251","title":"VPA: Fully Test-Time Visual Prompt Adaptation","created":"2023-09-26","cited_by_count":11,"area":null},{"id":"2405.10053","title":"SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection","created":"2024-05-16","cited_by_count":11,"area":null},{"id":"2412.02837","title":"$\\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP","created":"2024-12-03","cited_by_count":11,"area":null},{"id":"2603.12255","title":"Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training","created":"2026-03-12","cited_by_count":11,"area":null},{"id":"2308.15939","title":"Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization","created":"2023-08-30","cited_by_count":10,"area":null},{"id":"2408.03355","title":"FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning","created":"2024-08-06","cited_by_count":10,"area":null},{"id":"2508.01603","title":"Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning","created":"2025-08-03","cited_by_count":9,"area":null},{"id":"2406.19341","title":"Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation","created":"2024-06-27","cited_by_count":7,"area":null},{"id":"2503.21777","title":"Test-Time Visual In-Context Tuning","created":"2025-03-27","cited_by_count":7,"area":null},{"id":"2504.08010","title":"Self-Bootstrapping for Versatile Test-Time Adaptation","created":"2025-04-10","cited_by_count":7,"area":null},{"id":"2311.13612","title":"Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning","created":"2023-11-21","cited_by_count":6,"area":null},{"id":"2508.15568","title":"Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment","created":"2025-08-21","cited_by_count":6,"area":null},{"id":"2403.07601","title":"Unified Source-Free Domain Adaptation","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2405.07046","title":"RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning","created":"2024-05-11","cited_by_count":5,"area":null},{"id":"2407.15173","title":"Rethinking Domain Adaptation and Generalization in the Era of CLIP","created":"2024-07-21","cited_by_count":5,"area":null},{"id":"2408.04879","title":"On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey","created":"2024-08-09","cited_by_count":5,"area":null},{"id":"2506.02671","title":"Test-Time Distillation for Continual Model Adaptation","created":"2025-06-03","cited_by_count":5,"area":null},{"id":"2511.00457","title":"GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining","created":"2025-11-01","cited_by_count":5,"area":null},{"id":"2603.21309","title":"Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos","created":"2026-03-22","cited_by_count":5,"area":null},{"id":"2401.01482","title":"Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition","created":"2024-01-03","cited_by_count":4,"area":null},{"id":"2403.06295","title":"A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets","created":"2024-03-10","cited_by_count":4,"area":null},{"id":"2405.04782","title":"Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection","created":"2024-05-08","cited_by_count":4,"area":null},{"id":"2405.16146","title":"Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2408.13983","title":"Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2410.14729","title":"Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2503.12150","title":"Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis","created":"2025-03-15","cited_by_count":4,"area":null},{"id":"2504.10487","title":"FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation","created":"2025-04-14","cited_by_count":4,"area":null},{"id":"2508.01602","title":"Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment","created":"2025-08-03","cited_by_count":4,"area":null},{"id":"2510.07940","title":"TTOM: Test-Time Optimization and Memorization for Compositional Video Generation","created":"2025-10-09","cited_by_count":4,"area":null},{"id":"2308.15273","title":"Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval","created":"2023-08-29","cited_by_count":3,"area":null},{"id":"2309.03468","title":"Support-Set Context Matters for Bongard Problems","created":"2023-09-07","cited_by_count":3,"area":null},{"id":"2310.04714","title":"Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios","created":"2023-10-07","cited_by_count":3,"area":null},{"id":"2403.02714","title":"DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization","created":"2024-03-05","cited_by_count":3,"area":null},{"id":"2408.05769","title":"LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition","created":"2024-08-11","cited_by_count":3,"area":null},{"id":"2501.04696","title":"Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation","created":"2025-01-08","cited_by_count":3,"area":null},{"id":"2502.03950","title":"LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models","created":"2025-02-06","cited_by_count":3,"area":null},{"id":"2510.00458","title":"VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2512.11458","title":"Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation","created":"2025-12-12","cited_by_count":3,"area":null},{"id":"2604.11730","title":"Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions","created":"2026-04-13","cited_by_count":3,"area":null},{"id":"2308.02862","title":"Improving Generalization of Image Captioning with Unsupervised Prompt Learning","created":"2023-08-05","cited_by_count":2,"area":null},{"id":"2406.02889","title":"Language-guided Detection and Mitigation of Unknown Dataset Bias","created":"2024-06-05","cited_by_count":2,"area":null},{"id":"2409.02729","title":"Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?","created":"2024-09-03","cited_by_count":2,"area":null},{"id":"2410.20535","title":"Asynchronous Perception Machine For Efficient Test-Time-Training","created":"2024-10-27","cited_by_count":2,"area":null},{"id":"2506.00358","title":"$\\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time","created":"2025-05-31","cited_by_count":2,"area":null},{"id":"2506.02453","title":"PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2603.09798","title":"Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency","created":"2026-03-10","cited_by_count":2,"area":null}],"next_cursor":"100"}