Towards Trustworthy Dataset Distillation

18 July 2023

Papers citing "Towards Trustworthy Dataset Distillation"

9 / 9 papers shown

Title
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 24 1 0 02 Apr 2025
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 27 6 0 09 Oct 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 42 10 0 05 Mar 2024
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 64 95 0 21 Oct 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 44 71 0 26 Mar 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017