Diversity Enhanced Active Learning with Strictly Proper Scoring Rules

27 October 2021

Papers citing "Diversity Enhanced Active Learning with Strictly Proper Scoring Rules"

23 / 23 papers shown

Title
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 41 20 0 01 May 2024
Neural Active Learning Beyond Bandits Yikun Ban Ishika Agarwal Ziwei Wu Yada Zhu Kommy Weldemariam Hanghang Tong Jingrui He 27 5 0 18 Apr 2024
Towards Efficient Active Learning in NLP via Pretrained Representations Artem Vysogorets Achintya Gopal 34 0 0 23 Feb 2024
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification Wei Tan Ngoc Dang Nguyen Lan Du Wray L. Buntine 18 1 0 15 Jan 2024
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning Wei Tan Lan Du Wray L. Buntine 42 7 0 15 Dec 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 36 1 0 06 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition Haocheng Luo Wei Tan Ngoc Dang Nguyen Lan Du 17 2 0 02 Nov 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners Yun Luo Zhen Yang Fandong Meng Yingjie Li Fang Guo Qinglin Qi Jie Zhou Yue Zhang 19 1 0 09 Oct 2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification Tao Wang Xinlin Zhang Yuanbo Zhou Junlin Lan T. Tan Min Du Qinquan Gao Tong Tong 15 0 0 29 Jun 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch Matthias Aßenmacher Denis Huseljic Moritz Wirth Bernd Bischl Bernhard Sick 36 11 0 16 Jun 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 27 28 0 17 Apr 2023
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets Jionghao Lin Wei Tan Ngoc Dang Nguyen David Lang Lan Du Wray L. Buntine Richard Beare Guanliang Chen D. Gašević 29 7 0 15 Apr 2023
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification Wei Tan Jionghao Lin David Lang Guanliang Chen D. Gašević Lan Du Wray L. Buntine 11 6 0 12 Apr 2023
AUC Maximization for Low-Resource Named Entity Recognition Ngoc Dang Nguyen Wei Tan Wray L. Buntine Richard Beare Changyou Chen Lan Du 26 8 0 09 Dec 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 25 65 0 18 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 16 0 0 12 Oct 2022
Improved Algorithms for Neural Active Learning Yikun Ban Yuheng Zhang Hanghang Tong A. Banerjee Jingrui He AI4TS 36 11 0 02 Oct 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 19 1 0 23 May 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing Renyu Zhang Aly A. Khan Robert L. Grossman Yuxin Chen BDL 11 2 0 27 Dec 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle J. Woo 34 11 0 30 May 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 104 180 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015