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1606.05313
Cited By
Unsupervised Risk Estimation Using Only Conditional Independence Structure
16 June 2016
Jacob Steinhardt
Abigail Z. Jacobs
Re-assign community
ArXiv (abs)
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Papers citing
"Unsupervised Risk Estimation Using Only Conditional Independence Structure"
18 / 18 papers shown
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
273
13
0
01 Mar 2024
Streaming algorithms for evaluating noisy judges on unlabeled data -- binary classification
A. Corrada-Emmanuel
241
2
0
02 Jun 2023
Probabilistic computation and uncertainty quantification with emerging covariance
He Ma
Yong Qi
Li Zhang
Wenlian Lu
Jianfeng Feng
175
1
0
30 May 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Matej Grcić
Sinivsa vSegvić
293
11
0
19 Jan 2023
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Neural Information Processing Systems (NeurIPS), 2022
Christina Baek
Yiding Jiang
Aditi Raghunathan
Zico Kolter
383
107
0
27 Jun 2022
Predicting Out-of-Distribution Error with the Projection Norm
International Conference on Machine Learning (ICML), 2022
Yaodong Yu
Zitong Yang
Alexander Wei
Yi-An Ma
Jacob Steinhardt
OODD
207
51
0
11 Feb 2022
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
183
2
0
08 Feb 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
193
12
0
01 Dec 2021
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing
Proceedings 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
241
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
128
15
0
13 Aug 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Neural Information Processing Systems (NeurIPS), 2021
Jiefeng Chen
Frederick Liu
Besim Avci
Xi Wu
Yingyu Liang
S. Jha
300
73
0
29 Jun 2021
Assessing Generalization of SGD via Disagreement
International Conference on Learning Representations (ICLR), 2021
Yiding Jiang
Vaishnavh Nagarajan
Christina Baek
J. Zico Kolter
324
131
0
25 Jun 2021
OpenGAN: Open-Set Recognition via Open Data Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shu Kong
Deva Ramanan
421
262
0
07 Apr 2021
Domain Divergences: a Survey and Empirical Analysis
North American Chapter of the Association for Computational Linguistics (NAACL), 2020
Abhinav Ramesh Kashyap
Devamanyu Hazarika
Min-Yen Kan
Roger Zimmermann
483
42
0
23 Oct 2020
Constrained Labeling for Weakly Supervised Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Chidubem Arachie
Bert Huang
352
17
0
15 Sep 2020
Stochastic Generalized Adversarial Label Learning
Chidubem Arachie
Bert Huang
NoLa
98
0
0
03 Jun 2019
Adversarial Label Learning
Chidubem Arachie
Bert Huang
314
23
0
22 May 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
International Conference on Learning Representations (ICLR), 2016
Dan Hendrycks
Kevin Gimpel
UQCV
1.4K
3,911
0
07 Oct 2016
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