Jessica Zosa Forde

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Citation Networks

Machine Learning

Top Venues

HRI (Companion)

Trans. Assoc. Comput. Linguistics

Publications

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 (2024)
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 (2023)
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 (2023)
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 (2023)
Bowen He, Sreehari Rammohan, Jessica Zosa Forde, Michael L. Littman
Does DQN really learn? Exploring adversarial training schemes in Pong. CoRR (2022)
Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR (2022)
Andi Peng, Jessica Zosa Forde, Yonadav Shavit, Jonathan Frankle
Strengthening Subcommunities: Towards Sustainable Growth in AI Research. CoRR (2022)
Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. CoRR (2022)
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)
Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation. CoRR (2022)
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) (2022)
Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael L. Littman
Model Selection's Disparate Impact in Real-World Deep Learning Applications. CoRR (2021)
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 (2021)
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)
Michela Paganini, Jessica Zosa Forde
dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration. CoRR (2020)
Michela Paganini, Jessica Zosa Forde
On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks. CoRR (2020)
Michela Paganini, Jessica Zosa Forde
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding. CoRR (2020)
Michela Paganini, Jessica Zosa Forde
Streamlining Tensor and Network Pruning in PyTorch. CoRR (2020)
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 (2019)
Jessica Zosa Forde, Michela Paganini
The Scientific Method in the Science of Machine Learning. CoRR (2019)