Towards Computationally Feasible Deep Active Learning

Towards Computationally Feasible Deep Active Learning

7 May 2022

Artem Shelmanov

Leonid Sanochkin

Daniil Larionov

Manvel Avetisian

Papers citing "Towards Computationally Feasible Deep Active Learning"

13 / 13 papers shown

Title
Language Model-Driven Data Pruning Enables Efficient Active Learning Abdul Hameed Azeemi I. Qazi Agha Ali Raza VLM 25 1 0 05 Oct 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph Roman Vashurin Ekaterina Fadeeva Artem Vazhentsev Akim Tsvigun Daniil Vasilev ... Timothy Baldwin Timothy Baldwin Maxim Panov Artem Shelmanov Artem Shelmanov HILM 64 8 0 21 Jun 2024
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios Markus Bayer Christian A. Reuter 35 6 0 17 May 2024
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang Zhuohang Li Kamalika Das Kumar Sricharan 23 2 0 31 Oct 2023
On Dataset Transferability in Active Learning for Transformers Fran Jelenić Josip Jukić Nina Drobac Jan vSnajder 8 2 0 16 May 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 18 3 0 03 May 2023
Active Learning for Abstractive Text Summarization Akim Tsvigun Ivan Lysenko Danila Sedashov Ivan Lazichny Eldar Damirov ... Leonid Sanochkin Maxim Panov Alexander Panchenko Mikhail Burtsev Artem Shelmanov 14 11 0 09 Jan 2023
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection Tobias Riedlinger Marius Schubert Karsten Kahl Hanno Gottschalk Matthias Rottmann VLM ObjD 11 2 0 21 Dec 2022
Automatic Document Selection for Efficient Encoder Pretraining Yukun Feng Patrick Xia Benjamin Van Durme João Sedoc 44 7 0 20 Oct 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
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 84 82 0 11 Jan 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015