Learning how to Active Learn: A Deep Reinforcement Learning Approach

8 August 2017

Papers citing "Learning how to Active Learn: A Deep Reinforcement Learning Approach"

40 / 40 papers shown

Title
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 92 0 0 27 Feb 2025
Image Classification with Deep Reinforcement Active Learning Mingyuan Jiu Xuguang Song H. Sahbi Shupan Li Yan Chen Wei Guo Lihua Guo Mingliang Xu VLM 29 0 0 31 Dec 2024
Turn-Level Active Learning for Dialogue State Tracking Zihan Zhang Meng Fang Fanghua Ye Ling-Hao Chen Mohammad-Reza Namazi-Rad 46 1 0 23 Oct 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 30 40 0 17 Feb 2023
Active Example Selection for In-Context Learning Yiming Zhang Shi Feng Chenhao Tan SILM LRM 32 187 0 08 Nov 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 35 65 0 18 Oct 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 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 21 12 0 12 May 2022
Towards Computationally Feasible Deep Active Learning Akim Tsvigun Artem Shelmanov Gleb Kuzmin Leonid Sanochkin Daniil Larionov Gleb Gusev Manvel Avetisian L. Zhukov 32 15 0 07 May 2022
Onception: Active Learning with Expert Advice for Real World Machine Translation Vania Mendoncca Ricardo Rei Luísa Coheur Alberto Sardinha INESC-ID Lisboa 33 6 0 09 Mar 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 11 6 0 07 Jan 2022
Towards General and Efficient Active Learning Yichen Xie Masayoshi Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 49 16 0 14 Oct 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 33 0 0 01 Oct 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning Yunqiu Xu Meng Fang Ling Chen Yali Du Chengqi Zhang AI4CE 45 20 0 21 Sep 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection Iftitahu Ni'mah Meng Fang Vlado Menkovski Mykola Pechenizkiy 35 5 0 27 Aug 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 23 4 0 17 Aug 2021
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning Taeyeong Choi Grzegorz Cielniak 11 10 0 14 Aug 2021
Reinforcement Learning Approach to Active Learning for Image Classification Thorben Werner 11 1 0 12 Aug 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 35 68 0 07 Jan 2021
Embodied Visual Active Learning for Semantic Segmentation David Nilsson Aleksis Pirinen Erik Gartner C. Sminchisescu 42 35 0 17 Dec 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 26 162 0 13 Aug 2020
Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu Zheng Xiong Meng Qu Xingdi Yuan Marc-Alexandre Côté Zhiyuan Liu Jian Tang GNN 24 65 0 24 Jun 2020
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling Xinyu Wang Yong-jia Jiang Nguyen Bach Tao Wang Fei Huang Kewei Tu 28 36 0 08 Apr 2020
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 21 108 0 16 Feb 2020
Improving Neural Relation Extraction with Positive and Unlabeled Learning Zhengqiu He Wenliang Chen Yuyi Wang Wei Zhang Guanchu Wang Min Zhang SSL AI4TS 20 17 0 28 Nov 2019
Optimizing Data Usage via Differentiable Rewards Xinyi Wang Hieu H. Pham Paul Michel Antonios Anastasopoulos J. Carbonell Graham Neubig 18 60 0 22 Nov 2019
On the Limits of Learning to Actively Learn Semantic Representations Omri Koshorek Gabriel Stanovsky Yichu Zhou Vivek Srikumar Jonathan Berant OffRL 27 9 0 05 Oct 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 22 41 0 27 Jun 2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach Ognjen Rudovic Meiru Zhang Bjorn Schuller Rosalind W. Picard OffRL 36 44 0 07 Jun 2019
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning Benjamin J. Meyer Tom Drummond 14 33 0 27 Feb 2019
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 11 34 0 08 Nov 2018
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
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 291 13,373 0 25 Aug 2014