Learning to Predict Trustworthiness with Steep Slope Loss

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Learning to Predict Trustworthiness with Steep Slope Loss

30 September 2021

Mohan S. Kankanhalli

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Papers citing "Learning to Predict Trustworthiness with Steep Slope Loss"

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Title
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 367 0 0 03 Oct 2024
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 92 224 0 01 Apr 2020
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,602 0 18 Jun 2019
Functional Adversarial Attacks Cassidy Laidlaw Soheil Feizi AAML 72 185 0 29 May 2019
Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang Weihao Gan Jie Yang Wei Wu Junjie Yan 70 222 0 21 Jan 2019
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 176 472 0 30 May 2018
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 527 0 23 May 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 81 1,456 0 07 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 169 3,271 0 05 Dec 2014