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Unsupervised Risk Estimation Using Only Conditional Independence
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Unsupervised Risk Estimation Using Only Conditional Independence Structure

16 June 2016

Jacob Steinhardt

Abigail Z. Jacobs

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Papers citing "Unsupervised Risk Estimation Using Only Conditional Independence Structure"

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SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li Yingyi Chen Xuanlong Yu Dexiong Chen Xi Shen UQCV OOD 204 10 0 01 Mar 2024
Streaming algorithms for evaluating noisy judges on unlabeled data -- binary classification A. Corrada-Emmanuel 137 2 0 02 Jun 2023
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 117 1 0 30 May 2023
Hybrid Open-set Segmentation with Synthetic Negative DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Matej Grcić Sinivsa vSegvić 180 9 0 19 Jan 2023
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution ShiftNeural Information Processing Systems (NeurIPS), 2022 Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 285 106 0 27 Jun 2022
Predicting Out-of-Distribution Error with the Projection NormInternational Conference on Machine Learning (ICML), 2022 Yaodong Yu Zitong Yang Alexander Wei Yi-An Ma Jacob Steinhardt OODD 151 50 0 11 Feb 2022
Data Consistency for Weakly Supervised Learning Chidubem Arachie Bert Huang NoLa 134 2 0 08 Feb 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 135 12 0 01 Dec 2021
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile SensingProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2021 Taesik Gong Yewon Kim Adiba Orzikulova Yunxin Liu Sung Ju Hwang Jinwoo Shin Sung-Ju Lee 178 10 0 22 Nov 2021
Detecting OODs as datapoints with High Uncertainty R. Kaur Susmit Jha Anirban Roy Sangdon Park O. Sokolsky Insup Lee AAML UQCV 80 15 0 13 Aug 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training EnsemblesNeural Information Processing Systems (NeurIPS), 2021 Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 200 71 0 29 Jun 2021
Assessing Generalization of SGD via DisagreementInternational Conference on Learning Representations (ICLR), 2021 Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 244 127 0 25 Jun 2021
OpenGAN: Open-Set Recognition via Open Data GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Shu Kong Deva Ramanan 229 253 0 07 Apr 2021
Domain Divergences: a Survey and Empirical AnalysisNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 430 42 0 23 Oct 2020
Constrained Labeling for Weakly Supervised LearningConference on Uncertainty in Artificial Intelligence (UAI), 2020 Chidubem Arachie Bert Huang 236 17 0 15 Sep 2020
Stochastic Generalized Adversarial Label Learning Chidubem Arachie Bert Huang NoLa 88 0 0 03 Jun 2019
Adversarial Label Learning Chidubem Arachie Bert Huang 240 23 0 22 May 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksInternational Conference on Learning Representations (ICLR), 2016 Dan Hendrycks Kevin Gimpel UQCV 1.2K 3,837 0 07 Oct 2016