{"total":33,"rows":[{"id":"2307.15880","title":"Effective Whole-body Pose Estimation with Two-stages Distillation","created":"2023-07-29","cited_by_count":311,"area":null},{"id":"2106.14448","title":"R-Drop: Regularized Dropout for Neural Networks","created":"2021-06-28","cited_by_count":202,"area":null},{"id":"2106.04149","title":"To Smooth or Not? When Label Smoothing Meets Noisy Labels","created":"2021-06-08","cited_by_count":70,"area":null},{"id":"2309.16286","title":"Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning","created":"2023-09-28","cited_by_count":40,"area":null},{"id":"2406.10485","title":"A Label is Worth a Thousand Images in Dataset Distillation","created":"2024-06-15","cited_by_count":31,"area":null},{"id":"2210.04208","title":"Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis","created":"2022-10-09","cited_by_count":24,"area":null},{"id":"2107.01691","title":"Bag of Instances Aggregation Boosts Self-supervised Distillation","created":"2021-07-04","cited_by_count":22,"area":null},{"id":"2406.03470","title":"SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN","created":"2024-06-05","cited_by_count":18,"area":null},{"id":"2307.00331","title":"Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision","created":"2023-07-01","cited_by_count":17,"area":null},{"id":"2207.01426","title":"Dynamic Contrastive Distillation for Image-Text Retrieval","created":"2022-07-04","cited_by_count":14,"area":null},{"id":"2308.14084","title":"Practical Edge Detection via Robust Collaborative Learning","created":"2023-08-27","cited_by_count":13,"area":null},{"id":"2310.10429","title":"Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting","created":"2023-10-16","cited_by_count":11,"area":null},{"id":"2408.15641","title":"MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion","created":"2024-08-28","cited_by_count":10,"area":null},{"id":"2506.14457","title":"Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge","created":"2025-06-17","cited_by_count":10,"area":null},{"id":"2405.14736","title":"GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost","created":"2024-05-23","cited_by_count":9,"area":null},{"id":"2112.02747","title":"Making a Bird AI Expert Work for You and Me","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2404.13322","title":"MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities","created":"2024-04-20","cited_by_count":6,"area":null},{"id":"2310.07838","title":"Towards the Fundamental Limits of Knowledge Transfer over Finite Domains","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2401.15500","title":"Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels","created":"2024-01-27","cited_by_count":4,"area":null},{"id":"2402.01863","title":"DFML: Decentralized Federated Mutual Learning","created":"2024-02-02","cited_by_count":4,"area":null},{"id":"2310.13321","title":"Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2407.09958","title":"Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning","created":"2024-07-13","cited_by_count":2,"area":null},{"id":"2112.00324","title":"Optimizing for In-memory Deep Learning with Emerging Memory Technology","created":"2021-12-01","cited_by_count":1,"area":null},{"id":"2310.09250","title":"It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2410.07857","title":"SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2501.11712","title":"YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners' Perspectives","created":"2025-01-20","cited_by_count":1,"area":null},{"id":"2506.04567","title":"StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2603.15150","title":"SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation","created":"2026-03-16","cited_by_count":1,"area":null},{"id":"2301.13444","title":"Rethinking Soft Label in Label Distribution Learning Perspective","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2505.14117","title":"Collaborative Unlabeled Data Optimization","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2508.11961","title":"PEdger++: Practical Edge Detection via Assembling Cross Information","created":"2025-08-16","cited_by_count":0,"area":null},{"id":"2509.11817","title":"MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2512.10275","title":"Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation","created":"2025-12-11","cited_by_count":0,"area":null}],"next_cursor":null}