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ORCIDJessica Zosa Forde
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2020 – today
- 2024
[i16]Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou:
Lessons from the Trenches on Reproducible Evaluation of Language Models. CoRR abs/2405.14782 (2024)- 2023
- [j2]Marcos V. Treviso, Ji-Ung Lee
, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023) - [i15]Zheng Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Samuel Cahyawijaya, Holy Lovenia, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Long Phan, Yin Lin Tan, Alham Fikri Aji:
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages. CoRR abs/2303.13592 (2023) - [i14]Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge:
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR abs/2306.16900 (2023) - 2022
- [j1]Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde:
A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways. IEEE Robotics Autom. Mag. 29(1): 35-44 (2022) - [c3]Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic:
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) 2022: 7-11 - [c2]Christine T. Chang, Eric Rosen, Thomas R. Groechel, Michael E. Walker, Jessica Zosa Forde:
Virtual, Augmented, and Mixed Reality for HRI (VAM-HRI). HRI 2022: 1237-1240 - [i13]Bowen He, Sreehari Rammohan, Jessica Zosa Forde, Michael L. Littman:
Does DQN really learn? Exploring adversarial training schemes in Pong. CoRR abs/2203.10614 (2022) - [i12]Andi Peng, Jessica Zosa Forde, Yonadav Shavit, Jonathan Frankle:
Strengthening Subcommunities: Towards Sustainable Growth in AI Research. CoRR abs/2204.08377 (2022) - [i11]Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt:
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation. CoRR abs/2211.00683 (2022) - [i10]Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra:
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. CoRR abs/2211.12424 (2022) - [i9]Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR abs/2211.14673 (2022) - 2021
- [c1]Eric Rosen, Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Jessica Zosa Forde:
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI). HRI (Companion) 2021: 721-723 - [e2]Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde:
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. Proceedings of Machine Learning Research 163, PMLR 2021 [contents] - [i8]Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman:
Model Selection's Disparate Impact in Real-World Deep Learning Applications. CoRR abs/2104.00606 (2021) - [i7]Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde:
TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems. CoRR abs/2108.03477 (2021) - 2020
- [e1]Jessica Zosa Forde, Francisco J. R. Ruiz, Melanie F. Pradier, Aaron Schein:
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020. Proceedings of Machine Learning Research 137, PMLR 2020 [contents] - [i6]Michela Paganini, Jessica Zosa Forde:
On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks. CoRR abs/2001.05050 (2020) - [i5]Michela Paganini, Jessica Zosa Forde:
Streamlining Tensor and Network Pruning in PyTorch. CoRR abs/2004.13770 (2020) - [i4]Michela Paganini, Jessica Zosa Forde:
dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration. CoRR abs/2006.07484 (2020) - [i3]Michela Paganini, Jessica Zosa Forde:
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding. CoRR abs/2007.04091 (2020)
2010 – 2019
- 2019
- [i2]Jessica Zosa Forde, Michela Paganini:
The Scientific Method in the Science of Machine Learning. CoRR abs/1904.10922 (2019) - [i1]John R. Zech, Jessica Zosa Forde, Michael L. Littman:
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging. CoRR abs/1912.03606 (2019)
Coauthor Index
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