Deep Learning: A Critical Appraisal

2 January 2018

Papers citing "Deep Learning: A Critical Appraisal"

9 / 109 papers shown

Title
Towards Neural Theorem Proving at Scale Pasquale Minervini Matko Bosnjak Tim Rocktaschel Sebastian Riedel LRM NAI 21 38 0 21 Jul 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 16 355 0 11 Jul 2018
JUMPER: Learning When to Make Classification Decisions in Reading Xianggen Liu Lili Mou Haotian Cui Zhengdong Lu Sen Song 32 20 0 06 Jul 2018
Human-like generalization in a machine through predicate learning L. Doumas Guillermo Puebla Andrea E. Martin NAI 22 9 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 103 3,080 0 04 Jun 2018
Extrapolation in NLP Jeff Mitchell Pasquale Minervini Pontus Stenetorp Sebastian Riedel 11 20 0 17 May 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Innateness, AlphaZero, and Artificial Intelligence G. Marcus 19 73 0 17 Jan 2018
Solutions to problems with deep learning J. Wolff 19 10 0 08 Jan 2018