Practical Obstacles to Deploying Active Learning

12 July 2018

Papers citing "Practical Obstacles to Deploying Active Learning"

13 / 13 papers shown

Title
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 70 0 0 24 Feb 2025
Surfing the modeling of PoS taggers in low-resource scenarios M. Ferro V. Darriba F. J. Ribadas J. G. Gil 11 0 0 04 Feb 2024
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 20 7 0 14 Feb 2023
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 25 26 0 10 May 2022
Towards Computationally Feasible Deep Active Learning Akim Tsvigun Artem Shelmanov Gleb Kuzmin Leonid Sanochkin Daniil Larionov Gleb Gusev Manvel Avetisian L. Zhukov 16 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 17 6 0 09 Mar 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 17 13 0 01 Feb 2022
Cartography Active Learning Mike Zhang Barbara Plank 19 37 0 09 Sep 2021
Multi-class Text Classification using BERT-based Active Learning Sumanth Prabhu Moosa Mohamed Hemant Misra 8 35 0 27 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning Katerina Margatina Loïc Barrault Nikolaos Aletras 19 36 0 16 Apr 2021
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 16 19 0 30 Nov 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,283 0 25 Aug 2014