Learning Algorithms for Active Learning

31 July 2017

Papers citing "Learning Algorithms for Active Learning"

23 / 23 papers shown

Title
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 33 65 0 18 Oct 2022
Active Learning for Regression with Aggregated Outputs Tomoharu Iwata UQCV 23 0 0 04 Oct 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu Xingdi Yuan Marc-Alexandre Côté Pierre-Yves Oudeyer A. Schwing RALM 19 12 0 12 May 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 11 6 0 07 Jan 2022
Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng Guoren Wang 24 108 0 02 Dec 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 17 4 0 17 Aug 2021
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning Akshay Smit Damir Vrabac Yujie He A. Ng Andrew L. Beam Pranav Rajpurkar 16 7 0 26 Mar 2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing Haoyang Bi Haiping Ma Zhenya Huang Yu Yin Qi Liu Enhong Chen Yu Su Shijin Wang 19 37 0 15 Jan 2021
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 30 8 0 22 Jul 2020
Batch Decorrelation for Active Metric Learning Priyadarshini Kumari Ritesh Goru Siddhartha Chaudhuri Subhasis Chaudhuri 21 7 0 20 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 27 15 0 11 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 76 1,935 0 11 Apr 2020
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 21 108 0 16 Feb 2020
On the Limits of Learning to Actively Learn Semantic Representations Omri Koshorek Gabriel Stanovsky Yichu Zhou Vivek Srikumar Jonathan Berant OffRL 21 9 0 05 Oct 2019
Mindful Active Learning Zhila Esna Ashari Hassan Ghasemzadeh 10 11 0 28 Jul 2019
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 27 33 0 09 Oct 2018
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh 16 42 0 01 Oct 2018
Leveraging Motion Priors in Videos for Improving Human Segmentation Yu-Ting Chen Wen-Yen Chang Hai Lu Tingfan Wu Min Sun 23 2 0 30 Jul 2018
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning Chenhua Chen Yue Zhang SSL 22 11 0 16 Apr 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 21 13 0 28 Dec 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Geometry in Active Learning for Binary and Multi-class Image Segmentation Ksenia Konyushkova Raphael Sznitman Pascal Fua 17 26 0 29 Jun 2016