Mitigating Dataset Bias by Using Per-sample Gradient

31 May 2022

Papers citing "Mitigating Dataset Bias by Using Per-sample Gradient"

6 / 6 papers shown

Title
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 11 2 0 01 Dec 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 54 47 0 06 Aug 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 75 184 0 27 Feb 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski Devansh Arpit Oliver Åstrand Giancarlo Kerg Huan Wang Caiming Xiong R. Socher Kyunghyun Cho Krzysztof J. Geras AI4CE 177 64 0 28 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018