Cost-effective Interactive Attention Learning with Neural Attention Processes

9 June 2020

Papers citing "Cost-effective Interactive Attention Learning with Neural Attention Processes"

9 / 9 papers shown

Title
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 89 1,839 0 06 May 2019
On the Units of GANs (Extended Abstract) David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba 48 61 0 29 Jan 2019
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 702 0 04 Jul 2018
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 68 121 0 29 May 2018
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 203 2,885 0 14 Mar 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 115 1,245 0 19 Aug 2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das Harsh Agrawal C. L. Zitnick Devi Parikh Dhruv Batra 95 465 0 11 Jun 2016
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 334 10,069 0 10 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014