Learning Active Learning from Data

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Learning Active Learning from Data

9 March 2017

Ksenia Konyushkova

Raphael Sznitman

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Papers citing "Learning Active Learning from Data"

16 / 66 papers shown

Title
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 73 485 0 07 Oct 2019
On the Limits of Learning to Actively Learn Semantic Representations Omri Koshorek Gabriel Stanovsky Yichu Zhou Vivek Srikumar Jonathan Berant OffRL 68 9 0 05 Oct 2019
Learning to Sample: an Active Learning Framework Jingyu Shao Qing Wang Fangbing Liu 71 35 0 09 Sep 2019
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Tingting Cai Zhiyuan Ma Hong Zheng Ping He 47 0 0 22 Aug 2019
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery J. Howe Kyle Pula Aaron A. Reite GAN 83 13 0 10 Aug 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 90 41 0 27 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study Cam Linke Nadia M. Ady Martha White T. Degris Adam White 88 16 0 19 Jun 2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach Ognjen Rudovic Meiru Zhang Bjorn Schuller Rosalind W. Picard OffRL 70 46 0 07 Jun 2019
Active Adversarial Domain Adaptation Jong-Chyi Su Yi-Hsuan Tsai Kihyuk Sohn Buyu Liu Subhransu Maji Manmohan Chandraker 77 139 0 16 Apr 2019
BAOD: Budget-Aware Object Detection Alejandro Pardo Mengmeng Xu Ali K. Thabet Pablo Arbeláez Guohao Li ObjD 117 20 0 10 Apr 2019
Active Learning for High-Dimensional Binary Features Ali Vahdat Mouloud Belbahri V. Nia 35 5 0 05 Feb 2019
ALiPy: Active Learning in Python Ying-Peng Tang Guo-Xiang Li Sheng-Jun Huang GP AI4CE 78 54 0 12 Jan 2019
Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization Christelle Marfaing Alexandre Garcia AAML 17 4 0 20 Nov 2018
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice Kunkun Pang Mingzhi Dong Yang Wu Timothy M. Hospedales 66 18 0 29 Sep 2018
Towards more Reliable Transfer Learning Zirui Wang J. Carbonell 50 12 0 06 Jul 2018
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts Zongwei Zhou Jae Y. Shin S. Gurudu Michael B. Gotway Jianming Liang MedIm 100 10 0 03 Feb 2018