On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation

22 January 2020

Papers citing "On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation"

9 / 9 papers shown

Title
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 61 1,467 0 11 Dec 2018
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction Alexandre Garcia S. Essid Chloé Clavel Florence dÁlché-Buc 28 7 0 22 Mar 2018
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 70 522 0 23 May 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 28 594 0 13 Apr 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 90 938 0 01 Apr 2017
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 128 882 0 06 Nov 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 55 8,309 0 06 Nov 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 72 4,946 0 06 Oct 2013
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 35 305 0 27 Jun 2012