Jessica Zosa Forde
Jessica Zosa Forde
Other namesJessica Forde
Brown University
Verified email at - Homepage
Cited by
Cited by
Bloom: A 176b-parameter open-access multilingual language model
BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ...
arXiv preprint arXiv:2211.05100, 2022
Binder 2.0-Reproducible, interactive, sharable environments for science at scale
B Ragan-Kelley, C Willing, F Akici, D Lippa, D Niederhut, M Pacer
Proceedings of the 17th python in science conference, 113-120, 2018
Total property optimization system for energy efficiency and smart buildings
RN Anderson, A Boulanger, V Bhandari, E Boniberger, A Gagneja, ...
US Patent App. 14/341,718, 2015
Efficient methods for natural language processing: a survey
M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ...
arXiv preprint arXiv:2209.00099, 2023
The Scientific Method in the Science of Machine Learning
JZ Forde, M Paganini
ICLR 2019 Debugging Machine Learning Models workshop, 2019
Reproducible research environments with repo2docker
J Forde, T Head, C Holdgraf, Y Panda, G Nalvarete, B Ragan-Kelley, ...
Hyperparameter optimization is deceiving us, and how to stop it
AF Cooper, Y Lu, J Forde, CM De Sa
Advances in Neural Information Processing Systems 34, 3081-3095, 2021
Model selection's disparate impact in real-world deep learning applications
JZ Forde, AF Cooper, K Kwegyir-Aggrey, C De Sa, M Littman
arXiv preprint arXiv:2104.00606, 2021
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
C Lovering*, JZ Forde*, G Konidaris, E Pavlick, ML Littman
arXiv preprint arXiv:2211.14673, 2022
On iterative neural network pruning, reinitialization, and the similarity of masks
M Paganini, J Forde
arXiv preprint arXiv:2001.05050, 2020
Prompting multilingual large language models to generate code-mixed texts: The case of south east asian languages
ZX Yong, R Zhang, J Forde, S Wang, A Subramonian, H Lovenia, ...
Proceedings of the 6th Workshop on Computational Approaches to Linguistic …, 2023
Streamlining tensor and network pruning in pytorch
M Paganini, J Forde
arXiv preprint arXiv:2004.13770, 2020
A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human–Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways
TR Groechel, ME Walker, CT Chang, E Rosen, JZ Forde
IEEE Robotics & Automation Magazine 29 (1), 35-44, 2022
NeurIPS 2019 reproducibility challenge
K Sinha, J Pineau, J Forde, RN Ke, H Larochelle
ReScience C 6 (2), 11, 2020
Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models
J Zech, J Forde, J Titano, D Kaji, A Costa, EK Oermann
Annals of Translational Medicine, 2018
Towards reproducible machine learning research in natural language processing
A Lucic, M Bleeker, S Bhargav, J Forde, K Sinha, J Dodge, S Luccioni, ...
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Reproducing machine learning research on binder
J Forde, M Bussonnier, FA Fortin, B Granger, T Head, C Holdgraf, ...
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
M Paganini, JZ Forde
arXiv preprint arXiv:2007.04091, 2020
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
C Blakeney, JZ Forde, J Frankle, Z Zong, ML Leavitt
arXiv preprint arXiv:2211.00683, 2022
dagger: A python framework for reproducible machine learning experiment orchestration
M Paganini, JZ Forde
arXiv preprint arXiv:2006.07484, 2020
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