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Out-of-Distribution Detection using Synthetic Data Generation

5 February 2025

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Papers citing "Out-of-Distribution Detection using Synthetic Data Generation"

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Title
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Shouqing Yang OODD 657 1,587 0 08 Oct 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesNeural Information Processing Systems (NeurIPS), 2020 Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 241 664 0 16 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 274 253 0 10 Jul 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningInternational Conference on Learning Representations (ICLR), 2020 Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 351 527 0 17 Feb 2020
Positive-Unlabeled Reward LearningConference on Robot Learning (CoRL), 2019 Danfei Xu Misha Denil 172 40 0 01 Nov 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Nils Reimers Iryna Gurevych 1.6K 14,527 0 27 Aug 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2019 A. Malinin Mark Gales UQCV AAML 186 194 0 31 May 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 258 532 0 11 Mar 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 332 342 0 26 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 537 1,611 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 328 2,283 0 10 Jul 2018
Predictive Uncertainty Estimation via Prior NetworksNeural Information Processing Systems (NeurIPS), 2018 A. Malinin Mark Gales UD BDL EDL UQCV PER 357 1,001 0 28 Feb 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 405 583 0 14 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 765 10,732 0 09 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 320 918 0 26 Nov 2017
Deep reinforcement learning from human preferencesNeural Information Processing Systems (NeurIPS), 2017 Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 886 4,086 0 12 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural NetworksInternational Conference on Learning Representations (ICLR), 2017 Shiyu Liang Shouqing Yang R. Srikant UQCV OODD 867 2,263 0 08 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 339 580 0 23 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 1.2K 6,466 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksInternational Conference on Learning Representations (ICLR), 2016 Dan Hendrycks Kevin Gimpel UQCV 1.0K 3,806 0 07 Oct 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning Gang Niu M. C. D. Plessis Tomoya Sakai Yao Ma Masashi Sugiyama 164 136 0 10 Mar 2016
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 242 1,565 0 19 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningInternational Conference on Machine Learning (ICML), 2015 Y. Gal Zoubin Ghahramani UQCV BDL 1.6K 10,270 0 06 Jun 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable ImagesComputer Vision and Pattern Recognition (CVPR), 2014 Anh Totti Nguyen J. Yosinski Jeff Clune AAML 493 3,387 0 05 Dec 2014
PU Learning for Matrix CompletionInternational Conference on Machine Learning (ICML), 2014 Cho-Jui Hsieh Nagarajan Natarajan Inderjit S. Dhillon 134 163 0 22 Nov 2014