Christopher Fifty

According to our database, Christopher Fifty authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

LensVLM: Selective Context Expansion for Compressed Visual Representation of Text.

Roy Xie, Dan Friedman, Donghan Yu, Bowen Pan, Christopher Fifty, Jang-Hyun Kim, Xianzhi Du, Zhe Gan, Vivek Rathod, Bhuwan Dhingra

CoRR, May, 2026

2025

Restructuring Vector Quantization with the Rotation Trick.

Christopher Fifty, Ronald Guenther Junkins, Dennis Duan, Aniketh Iyengar, Jerry Weihong Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Restructuring Vector Quantization with the Rotation Trick.

Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh Iger, Jerry W. Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré

CoRR, 2024

Context-Aware Meta-Learning.

Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation.

Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth

Trans. Mach. Learn. Res., 2023

In-Context Learning for Few-Shot Molecular Property Prediction.

Christopher Fifty, Jure Leskovec, Sebastian Thrun

CoRR, 2023

Harnessing Simulation for Molecular Embeddings.

Christopher Fifty, Joseph M. Paggi, Ehsan Amid, Jure Leskovec, Ron O. Dror

CoRR, 2023

2022

Layerwise Bregman Representation Learning with Applications to Knowledge Distillation.

Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth

CoRR, 2022

N-Grammer: Augmenting Transformers with latent n-grams.

Aurko Roy, Rohan Anil, Guangda Lai, Benjamin Lee, Jeffrey Zhao, Shuyuan Zhang, Shibo Wang, Ye Zhang, Shen Wu, Rigel Swavely, Tao Yu, Phuong Dao, Christopher Fifty, Zhifeng Chen, Yonghui Wu

CoRR, 2022

Step-size Adaptation Using Exponentiated Gradient Updates.

Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth

CoRR, 2022

Can Small Heads Help? Understanding and Improving Multi-Task Generalization.

Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Co-training Transformer with Videos and Images Improves Action Recognition.

Bowen Zhang, Jiahui Yu, Christopher Fifty, Wei Han, Andrew M. Dai, Ruoming Pang, Fei Sha

CoRR, 2021

Efficiently Identifying Task Groupings for Multi-Task Learning.

Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Measuring and Harnessing Transference in Multi-Task Learning.

Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

CoRR, 2020

Small Towers Make Big Differences.

Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi

CoRR, 2020

2019

Simplifying Graph Convolutional Networks.

Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger

Proceedings of the 36th International Conference on Machine Learning, 2019