Addressing Missing Sources with Adversarial Support-Matching

Addressing Missing Sources with Adversarial Support-Matching

24 March 2022

Novi Quadrianto

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Papers citing "Addressing Missing Sources with Adversarial Support-Matching"

17 / 17 papers shown

Title
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 178 741 0 02 Apr 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 80 252 0 25 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 36 18 0 04 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 61 384 0 14 Oct 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 35 29 0 12 Aug 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 91 1,156 0 02 Jul 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 191 383 0 09 May 2020
Automatically Discovering and Learning New Visual Categories with Ranking Statistics Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 57 183 0 13 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,247 0 20 Nov 2019
Unsupervised Domain Adaptation through Self-Supervision Yu Sun Eric Tzeng Trevor Darrell Alexei A. Efros OOD SSL 62 238 0 26 Sep 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 190 334 0 06 Jun 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,549 0 06 Jun 2018
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 464 2,518 0 08 Jun 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,120 0 24 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 121 1,775 0 19 Sep 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 383 9,511 0 28 May 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,424 0 28 Nov 2014

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