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Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach

8 October 2020

Papers citing "Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach"

23 / 23 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 133 0 0 04 Feb 2025
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 113 1 0 04 Mar 2024
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation Zhen Qiu Yifan Zhang Hongbin Lin Shuaicheng Niu Yanxia Liu Qing Du Mingkui Tan TTA 94 170 0 18 Jun 2021
Automated Synthetic-to-Real Generalization Wuyang Chen Zhiding Yu Zhangyang Wang Anima Anandkumar 78 68 0 14 Jul 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 88 49 0 09 May 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 97 52 0 04 Dec 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 81 52 0 18 Nov 2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning Fuxun Yu Di Wang Yinpeng Chen Nikolaos Karianakis Tong Shen Pei Yu Dimitrios Lymberopoulos Sidi Lu Weisong Shi Xiang Chen 57 33 0 17 Nov 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 178 357 0 23 Sep 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 352 795 0 26 Aug 2019
Robust Regression for Safe Exploration in Control Anqi Liu Guanya Shi Soon-Jo Chung Anima Anandkumar Yisong Yue 66 59 0 13 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 183 1,702 0 06 Jun 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 85 131 0 24 May 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 121 1,726 0 13 Feb 2019
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 625 0 23 Feb 2018
Robust Covariate Shift Prediction with General Losses and Feature Views Anqi Liu Brian Ziebart OOD 50 15 0 28 Dec 2017
VisDA: The Visual Domain Adaptation Challenge Xingchao Peng Ben Usman Neela Kaushik Judy Hoffman Dequan Wang Kate Saenko OOD 93 806 0 18 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,057 0 22 Jun 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 270 4,673 0 17 Feb 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015