{"total":62,"rows":[{"id":"2305.18274","title":"Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors","created":"2023-05-29","cited_by_count":160,"area":"diffusion"},{"id":"2403.11207","title":"MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data","created":"2024-03-17","cited_by_count":109,"area":null},{"id":"2110.06976","title":"Representational Continuity for Unsupervised Continual Learning","created":"2021-10-13","cited_by_count":95,"area":null},{"id":"2102.06605","title":"Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning","created":"2021-02-12","cited_by_count":50,"area":null},{"id":"2109.15130","title":"Motion-aware Contrastive Video Representation Learning via Foreground-background Merging","created":"2021-09-30","cited_by_count":45,"area":null},{"id":"2108.02982","title":"Improving Contrastive Learning by Visualizing Feature Transformation","created":"2021-08-06","cited_by_count":44,"area":null},{"id":"2310.02265","title":"DREAM: Visual Decoding from Reversing Human Visual System","created":"2023-10-03","cited_by_count":44,"area":null},{"id":"2212.10400","title":"Contrastive Learning Reduces Hallucination in Conversations","created":"2022-12-20","cited_by_count":40,"area":null},{"id":"2404.12630","title":"MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction","created":"2024-04-19","cited_by_count":32,"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":"2206.07692","title":"A Simple Data Mixing Prior for Improving Self-Supervised Learning","created":"2022-06-15","cited_by_count":27,"area":null},{"id":"2208.09913","title":"A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective","created":"2022-08-21","cited_by_count":27,"area":null},{"id":"2410.19452","title":"NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction","created":"2024-10-25","cited_by_count":26,"area":"diffusion"},{"id":"2305.14032","title":"Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification","created":"2023-05-23","cited_by_count":24,"area":null},{"id":"2106.04990","title":"It Takes Two to Tango: Mixup for Deep Metric Learning","created":"2021-06-09","cited_by_count":23,"area":null},{"id":"2409.05202","title":"A Survey on Mixup Augmentations and Beyond","created":"2024-09-08","cited_by_count":20,"area":null},{"id":"2308.03975","title":"Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning","created":"2023-08-08","cited_by_count":19,"area":null},{"id":"2309.13439","title":"Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning","created":"2023-09-23","cited_by_count":18,"area":null},{"id":"2207.03065","title":"Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition","created":"2022-07-07","cited_by_count":17,"area":null},{"id":"2206.01197","title":"Hard Negative Sampling Strategies for Contrastive Representation Learning","created":"2022-06-02","cited_by_count":13,"area":null},{"id":"2212.03465","title":"MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy","created":"2022-12-07","cited_by_count":10,"area":null},{"id":"2404.15523","title":"Understanding Hyperbolic Metric Learning through Hard Negative Sampling","created":"2024-04-23","cited_by_count":10,"area":null},{"id":"2404.02462","title":"A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability","created":"2024-04-03","cited_by_count":9,"area":"safety"},{"id":"2312.02151","title":"Guarding Barlow Twins Against Overfitting with Mixed Samples","created":"2023-12-04","cited_by_count":8,"area":null},{"id":"2106.14749","title":"A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning","created":"2021-06-28","cited_by_count":7,"area":null},{"id":"2410.14445","title":"Toward Generalizing Visual Brain Decoding to Unseen Subjects","created":"2024-10-18","cited_by_count":7,"area":null},{"id":"2505.15946","title":"MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding","created":"2025-05-21","cited_by_count":7,"area":"moe"},{"id":"2110.10048","title":"Improving Tail-Class Representation with Centroid Contrastive Learning","created":"2021-10-19","cited_by_count":6,"area":null},{"id":"2207.04574","title":"Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease","created":"2022-07-11","cited_by_count":6,"area":null},{"id":"2210.09588","title":"Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks","created":"2022-10-18","cited_by_count":6,"area":null},{"id":"2408.16965","title":"Contrastive Learning with Synthetic Positives","created":"2024-08-30","cited_by_count":6,"area":"diffusion"},{"id":"2106.15499","title":"Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network","created":"2021-06-29","cited_by_count":5,"area":null},{"id":"2111.02679","title":"MixSiam: A Mixture-based Approach to Self-supervised Representation Learning","created":"2021-11-04","cited_by_count":4,"area":null},{"id":"2211.01796","title":"Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning","created":"2022-11-02","cited_by_count":4,"area":null},{"id":"2211.07118","title":"Information-guided pixel augmentation for pixel-wise contrastive learning","created":"2022-11-14","cited_by_count":4,"area":null},{"id":"2308.13392","title":"Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features","created":"2023-08-25","cited_by_count":4,"area":null},{"id":"2407.12188","title":"CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning","created":"2024-07-16","cited_by_count":4,"area":null},{"id":"2204.00901","title":"Mix-up Self-Supervised Learning for Contrast-agnostic Applications","created":"2022-04-02","cited_by_count":3,"area":null},{"id":"2511.02565","title":"A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding","created":"2025-11-04","cited_by_count":3,"area":null},{"id":"2104.05094","title":"Constructing Contrastive samples via Summarization for Text Classification with limited annotations","created":"2021-04-11","cited_by_count":2,"area":null},{"id":"2204.10695","title":"Universum-inspired Supervised Contrastive Learning","created":"2022-04-22","cited_by_count":2,"area":null},{"id":"2205.00400","title":"Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization","created":"2022-05-01","cited_by_count":2,"area":null},{"id":"2304.02971","title":"Synthetic Hard Negative Samples for Contrastive Learning","created":"2023-04-06","cited_by_count":2,"area":null},{"id":"2406.18765","title":"WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images","created":"2024-06-26","cited_by_count":2,"area":null},{"id":"2409.17777","title":"Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification","created":"2024-09-26","cited_by_count":2,"area":null},{"id":"2502.00412","title":"TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding","created":"2025-02-01","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":"2311.00562","title":"MNN: Mixed Nearest-Neighbors for Self-Supervised Learning","created":"2023-11-01","cited_by_count":1,"area":null},{"id":"2409.10445","title":"Deep-Wide Learning Assistance for Insect Pest Classification","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2505.10351","title":"A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability","created":"2025-05-15","cited_by_count":1,"area":"safety"},{"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":"2601.17857","title":"SynMind: Reducing Semantic Hallucination in fMRI-Based Image Reconstruction","created":"2026-01-25","cited_by_count":1,"area":"diffusion"},{"id":"2605.14569","title":"Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2206.00384","title":"Generalized Supervised Contrastive Learning","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2309.04148","title":"Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning","created":"2023-09-08","cited_by_count":0,"area":null},{"id":"2401.14587","title":"CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation","created":"2024-01-26","cited_by_count":0,"area":null},{"id":"2412.03880","title":"Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data","created":"2024-12-05","cited_by_count":0,"area":null},{"id":"2507.02311","title":"Perception Activator: An intuitive and portable framework for brain cognitive exploration","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2601.21543","title":"inversedMixup: Data Augmentation via Inverting Mixed Embeddings","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2603.11795","title":"Intrinsic Concept Extraction Based on Compositional Interpretability","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2608.15163","title":"From \"What-If\" to \"What-Is\": Counterfactual Thinking-Inspired Semantic Alignment for Visual Brain Decoding","created":"2026-08-15","cited_by_count":0,"area":"lr"},{"id":"2608.25701","title":"Skeleton-based Zero-Shot Spatio-Temporal Action Localization via Weakly-Supervised Pretraining","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}