Summary of Generative Dataset Distillation: Balancing Global Structure and Local Details, by Longzhen Li et al.
Generative Dataset Distillation: Balancing Global Structure and Local Detailsby Longzhen Li, Guang Li, Ren Togo,…
Generative Dataset Distillation: Balancing Global Structure and Local Detailsby Longzhen Li, Guang Li, Ren Togo,…
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action…
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networksby Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros…
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with…
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillationby Lasal Jayawardena, Prasan YapaFirst submitted to…
EdgeFusion: On-Device Text-to-Image Generationby Thibault Castells, Hyoung-Kyu Song, Tairen Piao, Shinkook Choi, Bo-Kyeong Kim, Hanyoung…
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learningby Changlin Song, Divya…
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformersby Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu,…
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalizationby Zining Chen, Weiqiu Wang, Zhicheng…
Federated Distillation: A Surveyby Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yiand Dacheng…