Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

16 August 2018

Papers citing "Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study"

37 / 37 papers shown

Title
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 99 12 0 31 Dec 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 31 5 0 27 Dec 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 42 29 0 17 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 78 0 28 Feb 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 26 7 0 14 Feb 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop Siting Liang Mareike Hartmann Daniel Sonntag 23 3 0 24 Jan 2023
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis Josip Jukić Jan Snajder 16 5 0 20 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 21 5 0 21 Nov 2022
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages Bonaventure F. P. Dossou A. Tonja Oreen Yousuf Salomey Osei Abigail Oppong Iyanuoluwa Shode Oluwabusayo Olufunke Awoyomi Chris C. Emezue 32 51 0 07 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models Yichao Zhou James Bradley Wendt Navneet Potti Jing Xie Sandeep Tata VLM 32 1 0 28 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 200 22 0 20 Oct 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 38 65 0 18 Oct 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
Active Learning Over Multiple Domains in Natural Language Tasks Shayne Longpre Julia Reisler E. G. Huang Yi Lu Andrew J. Frank Nikhil Ramesh Chris DuBois OOD 32 13 0 01 Feb 2022
Multi-View Active Learning for Short Text Classification in User-Generated Data Payam Karisani Negin Karisani Li Xiong VLM 15 4 0 05 Dec 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 16 30 0 27 Oct 2021
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing Fredrik Olsson Magnus Sahlgren 26 1 0 11 Oct 2021
Active Learning for Argument Strength Estimation Nataliia Kees Michael Fromm Evgeniy Faerman T. Seidl 32 5 0 23 Sep 2021
Cartography Active Learning Mike Zhang Barbara Plank 27 37 0 09 Sep 2021
ALLWAS: Active Learning on Language models in WASserstein space Anson Bastos Manohar Kaul MedIm 28 1 0 03 Sep 2021
Deep Active Learning for Text Classification with Diverse Interpretations Qiang Liu Yanqiao Zhu Zhaocheng Liu Yufeng Zhang Shu Wu AI4CE 33 14 0 15 Aug 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 38 33 0 15 Jul 2021
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue Alexios Gidiotis Grigorios Tsoumakas UQCV UD BDL 22 9 0 21 May 2021
Multi-class Text Classification using BERT-based Active Learning Sumanth Prabhu Moosa Mohamed Hemant Misra 29 38 0 27 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 157 17 0 23 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning Katerina Margatina Loïc Barrault Nikolaos Aletras 27 36 0 16 Apr 2021
Deep Bayesian Active Learning, A Brief Survey on Recent Advances S. Mohamadi H. Amindavar BDL UQCV 35 17 0 15 Dec 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 30 26 0 22 Oct 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
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
Sampling Bias in Deep Active Classification: An Empirical Study Ameya Prabhu Charles Dognin M. Singh 19 64 0 20 Sep 2019
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 11 34 0 08 Nov 2018
Practical Obstacles to Deploying Active Learning David Lowell Zachary Chase Lipton Byron C. Wallace 33 111 0 12 Jul 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014