Towards Robust and Reproducible Active Learning Using Neural Networks

Towards Robust and Reproducible Active Learning Using Neural Networks

21 February 2020

Shadab Khan

Papers citing "Towards Robust and Reproducible Active Learning Using Neural Networks"

15 / 15 papers shown

Title
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 81 0 0 24 Feb 2025
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 96 0 0 03 May 2024
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 29 0 0 07 Jul 2023
IAdet: Simplest human-in-the-loop object detection Franco Marchesoni-Acland Gabriele Facciolo VLM 44 1 0 04 Jul 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge Vasudha Varadarajan Swanie Juhng Syeda Mahwish Xiaoran Liu Jonah Luby C. Luhmann H. A. Schwartz 31 3 0 03 May 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
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 19 6 0 06 Apr 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 20 4 0 01 Feb 2023
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 26 9 0 30 Nov 2022
Is margin all you need? An extensive empirical study of active learning on tabular data Dara Bahri Heinrich Jiang Tal Schuster Afshin Rostamizadeh LMTD 40 10 0 07 Oct 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 22 105 0 25 Mar 2022
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 12 37 0 16 Jun 2021
Rebuilding Trust in Active Learning with Actionable Metrics A. Abraham L. Dreyfus-Schmidt 13 7 0 18 Dec 2020
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 19 19 0 30 Nov 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 6 10 0 13 Jun 2020