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"

7 / 7 papers shown

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
Single-Modal Entropy based Active Learning for Visual Question Answering Dong-Jin Kim Jae-Won Cho Jinsoo Choi Yunjae Jung In So Kweon 25 12 0 21 Oct 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 36 130 0 01 Apr 2021
Learning to Rank for Active Learning: A Listwise Approach Minghan Li Xialei Liu J. Weijer Bogdan Raducanu 27 22 0 31 Jul 2020
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 285 9,138 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 167 57 0 24 Feb 2014