Making Neural Networks FAIR

26 July 2019

Papers citing "Making Neural Networks FAIR"

7 / 7 papers shown

Title
Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics B. Schembera Frank Wübbeling Hendrik Kleikamp Burkhard Schmidt Aurela Shehu ... Christine Biedinger Jochen Fiedler Thomas Koprucki Dorothea Iglezakis Dominik Goddeke 32 0 0 19 Aug 2024
On the Semantic Interpretability of Artificial Intelligence Models V. S. Silva André Freitas Siegfried Handschuh AI4CE 44 8 0 09 Jul 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo Yongfeng Zhang 74 460 0 12 Jun 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 76 1,803 0 20 May 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 99 591 0 09 Nov 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 105 1,869 0 05 Oct 2018
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 72 5,569 0 07 Dec 2014