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Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection

19 June 2022

Papers citing "Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection"

50 / 51 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 238 2 0 04 Mar 2025
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization Xingxuan Zhang Renzhe Xu Han Yu Hao Zou Peng Cui 55 41 0 03 Mar 2023
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen Yangqiu Song Peng Cui OOD 36 3 0 07 Jun 2022
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 98 199 0 26 Oct 2021
Kernelized Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 64 35 0 24 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 291 936 0 21 Oct 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 72 11 0 23 Aug 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 85 248 0 05 May 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 114 345 0 22 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 252 1,019 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 219 1,230 0 02 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,802 0 23 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 71 185 0 01 Sep 2020
Self-Challenging Improves Cross-Domain Generalization Zeyi Huang Haohan Wang Eric Xing Dong Huang OOD 93 632 0 05 Jul 2020
Stable Adversarial Learning under Distributional Shifts Jiashuo Liu Zheyan Shen Peng Cui Linjun Zhou Kun Kuang Yangqiu Song Yishi Lin OOD 81 32 0 08 Jun 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 105 577 0 26 Feb 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 36 16 0 23 Jan 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,242 0 05 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 153 18,179 0 28 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 111 814 0 16 May 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 172 559 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 74 247 0 04 Sep 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 193 923 0 28 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 204 19,333 0 13 Jan 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 196 1,282 0 12 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 123 882 0 26 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 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
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 61 200 0 14 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,451 0 09 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 98 3,645 0 16 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 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
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
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,635 0 10 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,472 0 07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,165 0 06 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 104 1,433 0 19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 107 2,346 0 10 Jun 2015
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
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking Pingmei Xu Krista A. Ehinger Yinda Zhang Adam Finkelstein Sanjeev R. Kulkarni Jianxiong Xiao 58 373 0 25 Apr 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 488 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014