{"total":52,"rows":[{"id":"2306.14289","title":"Faster Segment Anything: Towards Lightweight SAM for Mobile Applications","created":"2023-06-25","cited_by_count":352,"area":null},{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2206.02574","title":"On the duality between contrastive and non-contrastive self-supervised learning","created":"2022-06-03","cited_by_count":108,"area":null},{"id":"2303.11717","title":"A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?","created":"2023-03-21","cited_by_count":84,"area":null},{"id":"2208.00173","title":"A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond","created":"2022-07-30","cited_by_count":58,"area":null},{"id":"2304.06488","title":"One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era","created":"2023-04-04","cited_by_count":55,"area":null},{"id":"2303.13664","title":"Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data","created":"2023-03-23","cited_by_count":44,"area":null},{"id":"2211.09120","title":"AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders","created":"2022-11-16","cited_by_count":43,"area":null},{"id":"2312.09579","title":"MobileSAMv2: Faster Segment Anything to Everything","created":"2023-12-15","cited_by_count":42,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2305.11965","title":"Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization","created":"2023-05-19","cited_by_count":25,"area":null},{"id":"2207.10899","title":"Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness","created":"2022-07-22","cited_by_count":20,"area":null},{"id":"2304.01950","title":"MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence","created":"2023-04-01","cited_by_count":20,"area":null},{"id":"2308.10297","title":"DomainAdaptor: A Novel Approach to Test-time Adaptation","created":"2023-08-20","cited_by_count":20,"area":null},{"id":"2404.15672","title":"Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision","created":"2024-04-24","cited_by_count":13,"area":null},{"id":"2402.01516","title":"Cross-view Masked Diffusion Transformers for Person Image Synthesis","created":"2024-02-02","cited_by_count":12,"area":"diffusion"},{"id":"2207.07874","title":"Model-Aware Contrastive Learning: Towards Escaping the Dilemmas","created":"2022-07-16","cited_by_count":11,"area":null},{"id":"2208.05744","title":"On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning","created":"2022-08-11","cited_by_count":10,"area":null},{"id":"2303.12710","title":"A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning","created":"2023-03-09","cited_by_count":10,"area":null},{"id":"2505.00941","title":"FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection","created":"2025-05-02","cited_by_count":10,"area":null},{"id":"2407.01445","title":"FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources","created":"2024-07-01","cited_by_count":9,"area":null},{"id":"2408.00256","title":"Mobility-Aware Federated Self-supervised Learning in Vehicular Network","created":"2024-08-01","cited_by_count":9,"area":null},{"id":"2406.10743","title":"Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?","created":"2024-06-15","cited_by_count":8,"area":null},{"id":"2211.09861","title":"Self-Supervised Visual Representation Learning via Residual Momentum","created":"2022-11-17","cited_by_count":7,"area":null},{"id":"2405.18045","title":"Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2408.09194","title":"DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV","created":"2024-08-17","cited_by_count":7,"area":null},{"id":"2402.12613","title":"Analysis of Using Sigmoid Loss for Contrastive Learning","created":"2024-02-20","cited_by_count":6,"area":null},{"id":"2405.18322","title":"SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation","created":"2024-05-28","cited_by_count":6,"area":null},{"id":"2603.04772","title":"TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings","created":"2026-03-05","cited_by_count":6,"area":"lr"},{"id":"2312.12882","title":"BSL: Understanding and Improving Softmax Loss for Recommendation","created":"2023-12-20","cited_by_count":5,"area":null},{"id":"2407.08965","title":"Lite-SAM Is Actually What You Need for Segment Everything","created":"2024-07-12","cited_by_count":5,"area":null},{"id":"2410.02401","title":"SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning","created":"2024-10-03","cited_by_count":5,"area":null},{"id":"2302.10260","title":"Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head","created":"2023-02-20","cited_by_count":4,"area":null},{"id":"2310.12431","title":"SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation","created":"2023-10-19","cited_by_count":4,"area":null},{"id":"2507.06979","title":"A Principled Framework for Multi-View Contrastive Learning","created":"2025-07-09","cited_by_count":4,"area":null},{"id":"2305.16371","title":"INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition","created":"2023-05-25","cited_by_count":3,"area":"safety"},{"id":"2407.19889","title":"Self-Supervised Learning for Text Recognition: A Critical Survey","created":"2024-07-29","cited_by_count":3,"area":null},{"id":"2309.15313","title":"M$^{3}$3D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding","created":"2023-09-26","cited_by_count":2,"area":null},{"id":"2502.09164","title":"E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization","created":"2025-02-13","cited_by_count":2,"area":"diffusion"},{"id":"2503.08977","title":"Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2506.03682","title":"How PARTs assemble into wholes: Learning the relative composition of images","created":"2025-06-04","cited_by_count":2,"area":null},{"id":"2311.00358","title":"Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples","created":"2023-11-01","cited_by_count":1,"area":null},{"id":"2505.18981","title":"FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration","created":"2025-05-25","cited_by_count":1,"area":null},{"id":"2603.08202","title":"MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data","created":"2026-03-09","cited_by_count":1,"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":"2408.02245","title":"A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2505.18137","title":"Boosting Open Set Recognition Performance through Modulated Representation Learning","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2507.06560","title":"Divergence-Based Similarity Function for Multi-View Contrastive Learning","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2510.10572","title":"Understanding Self-supervised Contrastive Learning through Supervised Objectives","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2510.24103","title":"Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2606.08935","title":"PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2609.07540","title":"TeMo: Temperature Modulation for Multimodal Contrastive Learning","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}