GradTail: Learning Long-Tailed Data Using Gradient-based Sample
Weighting

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GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting

16 January 2022

Henrik Kretzschmar

Dragomir Anguelov

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Papers citing "GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting"

11 / 11 papers shown

Title
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 466 0 11 Mar 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 180 1,228 0 19 Jan 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 141 2,902 0 10 Dec 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 662 0 09 May 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,163 0 10 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 96 809 0 07 Feb 2019
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,135 0 19 May 2017
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 1.2K 20,892 0 17 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,174 0 13 Aug 2016
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 142 945 0 18 Feb 2015

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