Active Learning for Visual Question Answering: An Empirical Study

Active Learning for Visual Question Answering: An Empirical Study

6 November 2017

Devi Parikh

Papers citing "Active Learning for Visual Question Answering: An Empirical Study"

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Title
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data Hao Wang Lixue Liu Xueguan Song Chao Zhang Dacheng Tao GAN AI4CE 19 0 0 02 Dec 2022
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 31 129 0 01 Apr 2021
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets Wei-Lun Chao Hexiang Hu Fei Sha 22 37 0 24 Apr 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Near Optimal Bayesian Active Learning for Decision Making Shervin Javdani Yuxin Chen Amin Karbasi Andreas Krause J. Andrew Bagnell S. Srinivasa 123 57 0 24 Feb 2014