The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation

6 October 2021

Papers citing "The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation"

18 / 18 papers shown

Title
On Importance of Pruning and Distillation for Efficient Low Resource NLP Aishwarya Mirashi Purva Lingayat Srushti Sonavane Tejas Padhiyar Raviraj Joshi Geetanjali Kale 26 1 0 21 Sep 2024
How Does Quantization Affect Multilingual LLMs? Kelly Marchisio Saurabh Dash Hongyu Chen Dennis Aumiller A. Ustun Sara Hooker Sebastian Ruder MQ 52 6 0 03 Jul 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 39 4 0 29 May 2024
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 31 45 0 16 Feb 2023
Multi-VALUE: A Framework for Cross-Dialectal English NLP Caleb Ziems William B. Held Jingfeng Yang Jwala Dhamala Rahul Gupta Diyi Yang 39 40 0 15 Dec 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 42 27 0 20 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 29 11 0 07 Jun 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 39 38 0 26 May 2022
What Do Compressed Multilingual Machine Translation Models Forget? Alireza Mohammadshahi Vassilina Nikoulina Alexandre Berard Caroline Brun James Henderson Laurent Besacier AI4CE 42 9 0 22 May 2022
The Power of Prompt Tuning for Low-Resource Semantic Parsing Nathan Schucher Siva Reddy H. D. Vries VLM 111 36 0 16 Oct 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 644 0 21 Apr 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 142 221 0 31 Dec 2020
Learning Light-Weight Translation Models from Deep Transformer Bei Li Ziyang Wang Hui Liu Quan Du Tong Xiao Chunliang Zhang Jingbo Zhu VLM 120 40 0 27 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 253 93 0 11 Dec 2020
With Little Power Comes Great Responsibility Dallas Card Peter Henderson Urvashi Khandelwal Robin Jia Kyle Mahowald Dan Jurafsky 230 115 0 13 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017