{"total":47,"rows":[{"id":"2110.04596","title":"Deep Long-Tailed Learning: A Survey","created":"2021-10-09","cited_by_count":417,"area":null},{"id":"2212.00638","title":"Finetune like you pretrain: Improved finetuning of zero-shot vision models","created":"2022-12-01","cited_by_count":150,"area":null},{"id":"2106.15326","title":"Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation","created":"2021-06-18","cited_by_count":111,"area":null},{"id":"2107.09249","title":"Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition","created":"2021-07-20","cited_by_count":95,"area":null},{"id":"2211.13976","title":"Expanding Small-Scale Datasets with Guided Imagination","created":"2022-11-25","cited_by_count":62,"area":null},{"id":"2304.00426","title":"Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning","created":"2023-04-02","cited_by_count":55,"area":null},{"id":"2207.13457","title":"Reducing the Vision and Language Bias for Temporal Sentence Grounding","created":"2022-07-27","cited_by_count":35,"area":null},{"id":"2303.14736","title":"Disentangling Writer and Character Styles for Handwriting Generation","created":"2023-03-26","cited_by_count":35,"area":null},{"id":"2207.10856","title":"Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation","created":"2022-07-22","cited_by_count":33,"area":null},{"id":"2212.10888","title":"A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability","created":"2022-12-21","cited_by_count":31,"area":null},{"id":"2104.12081","title":"How Well Does Self-Supervised Pre-Training Perform with Streaming Data?","created":"2021-04-25","cited_by_count":29,"area":null},{"id":"2203.03897","title":"Geodesic Multi-Modal Mixup for Robust Fine-Tuning","created":"2022-03-08","cited_by_count":29,"area":null},{"id":"2307.04378","title":"Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains","created":"2023-07-10","cited_by_count":21,"area":null},{"id":"2409.04004","title":"One-Shot Diffusion Mimicker for Handwritten Text Generation","created":"2024-09-06","cited_by_count":20,"area":null},{"id":"2409.05202","title":"A Survey on Mixup Augmentations and Beyond","created":"2024-09-08","cited_by_count":20,"area":null},{"id":"2410.08190","title":"Poison-splat: Computation Cost Attack on 3D Gaussian Splatting","created":"2024-10-10","cited_by_count":18,"area":null},{"id":"2310.03295","title":"Can pre-trained models assist in dataset distillation?","created":"2023-10-05","cited_by_count":12,"area":null},{"id":"2312.04838","title":"Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment","created":"2023-12-08","cited_by_count":11,"area":null},{"id":"2107.02067","title":"Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation","created":"2021-07-05","cited_by_count":10,"area":null},{"id":"2208.00238","title":"Improving Fine-tuning of Self-supervised Models with Contrastive Initialization","created":"2022-07-30","cited_by_count":10,"area":null},{"id":"2108.03372","title":"Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation","created":"2021-08-07","cited_by_count":8,"area":null},{"id":"2412.02865","title":"Memory-efficient Continual Learning with Neural Collapse Contrastive","created":"2024-12-03","cited_by_count":8,"area":null},{"id":"2203.10853","title":"Boost Test-Time Performance with Closed-Loop Inference","created":"2022-03-21","cited_by_count":7,"area":null},{"id":"2405.08586","title":"Cross-Domain Feature Augmentation for Domain Generalization","created":"2024-05-14","cited_by_count":7,"area":null},{"id":"2308.12058","title":"DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration","created":"2023-08-23","cited_by_count":6,"area":null},{"id":"2402.12187","title":"Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training","created":"2024-02-19","cited_by_count":5,"area":null},{"id":"2211.11761","title":"From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm","created":"2022-11-21","cited_by_count":4,"area":null},{"id":"2207.07080","title":"An Asymmetric Contrastive Loss for Handling Imbalanced Datasets","created":"2022-07-14","cited_by_count":3,"area":null},{"id":"2208.10779","title":"Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation","created":"2022-08-23","cited_by_count":2,"area":null},{"id":"2312.00502","title":"Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning","created":"2023-12-01","cited_by_count":2,"area":null},{"id":"2412.16444","title":"Effective Context Modeling Framework for Emotion Recognition in Conversations","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2209.07424","title":"CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations","created":"2022-08-21","cited_by_count":1,"area":null},{"id":"2211.08672","title":"Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2308.01919","title":"Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning","created":"2023-07-12","cited_by_count":1,"area":null},{"id":"2403.10097","title":"Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2510.15751","title":"SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2203.09257","title":"Contrastive Learning for Cross-Domain Open World Recognition","created":"2022-03-17","cited_by_count":0,"area":null},{"id":"2305.10432","title":"Model-Contrastive Federated Domain Adaptation","created":"2023-05-07","cited_by_count":0,"area":null},{"id":"2305.12649","title":"Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2310.03848","title":"OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning","created":"2023-10-05","cited_by_count":0,"area":null},{"id":"2311.06868","title":"Concept-wise Fine-tuning Matters in Preventing Negative Transfer","created":"2023-11-12","cited_by_count":0,"area":null},{"id":"2404.09645","title":"Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2410.01319","title":"Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps","created":"2024-10-02","cited_by_count":0,"area":null},{"id":"2410.02512","title":"SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2510.03258","title":"POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.10719","title":"SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2607.04139","title":"Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition","created":"2026-07-05","cited_by_count":0,"area":null}],"next_cursor":null}