Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning

22 December 2020

Papers citing "Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning"

8 / 8 papers shown

Title
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions Upol Ehsan Pradyumna Tambwekar Larry Chan Brent Harrison Mark O. Riedl 61 239 0 11 Jan 2019
Explaining Explanations in AI Brent Mittelstadt Chris Russell Sandra Wachter XAI 75 664 0 04 Nov 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 70 1,037 0 02 Jan 2018
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 60 4,584 0 26 Oct 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 50 233 0 14 Jun 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 55 832 0 08 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 338 16,765 0 16 Feb 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 101 14,831 1 21 Dec 2013