Title
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 89 1 0 16 Nov 2024
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays Siyu Shi Ishaan Malhi Ke M. Tran A. Ng Pranav Rajpurkar 39 4 0 08 Mar 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 115 67 0 14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 105 514 0 13 Jan 2021
Self-Supervised Out-of-Distribution Detection in Brain CT Scans Abinav Ravi Venkatakrishnan S. T. Kim R. Eisawy Franz MJ Pfister Nassir Navab OOD 54 22 0 10 Nov 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 54 13 0 09 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 75 794 0 24 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 125 636 0 02 Aug 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 101 239 0 10 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 60 59 0 08 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 296 1,727 0 29 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 50 209 0 24 Jun 2020
Density of States Estimation for Out-of-Distribution Detection Warren Morningstar Cusuh Ham Andrew Gallagher Balaji Lakshminarayanan Alexander A. Alemi Joshua V. Dillon OODD 64 84 0 16 Jun 2020
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models Jayaraman J. Thiagarajan P. Sattigeri Deepta Rajan Bindya Venkatesh MedIm 25 16 0 27 Apr 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 157 434 0 13 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 120 185 0 27 Mar 2020
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest Xuan Li Yuchen Lu Christian Desrosiers Xue Liu 35 20 0 20 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 321 18,686 0 13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 252 1,204 0 24 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 97 1,299 0 05 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 99 627 0 05 Dec 2019
A deep learning system for differential diagnosis of skin diseases Yuan Liu Ayush Jain C. Eng David H. Way Kang Lee ... Dennis Ai Shijie Huang Yun-Hui Liu R. C. Dunn David Coz 44 592 0 11 Sep 2019
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis E. Çallı K. Murphy Ecem Sogancioglu Bram van Ginneken MedIm OOD 49 15 0 02 Jul 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 160 720 0 07 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 153 1,688 0 06 Jun 2019
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille MQ 83 144 0 25 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 67 726 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 159 1,475 0 11 Dec 2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis Siyu Dai Shawn Schaffert Murali Ravuri Manish Chablani David Sontag B. Williams 62 18 0 07 Nov 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 151 2,044 0 10 Jul 2018
Group Normalization Yuxin Wu Kaiming He 192 3,644 0 22 Mar 2018
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Jingyu Sun Matthew Sinclair ... Martin Rajchl Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker 3DV AAML OOD 67 436 0 04 Nov 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 156 2,393 0 10 Jul 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 135 2,061 0 08 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 642 5,798 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 131 3,441 0 07 Oct 2016
Universum Prescription: Regularization using Unlabeled Data Xiang Zhang Yann LeCun 49 31 0 11 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 628 9,290 0 06 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 227 19,017 0 20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 153 3,270 0 05 Dec 2014