Deqing Fu

According to our database, Deqing Fu authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Simplicity Bias of Transformers to Learn Low Sensitivity Functions.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

CoRR, 2024

DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models.

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

CoRR, 2024

2023

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.

Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian

CoRR, 2023

Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models.

Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan

CoRR, 2023

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples.

Deqing Fu, Ameya Godbole, Robin Jia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Topological Regularization for Dense Prediction.

Deqing Fu, Bradley J. Nelson

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Harnessing the Conditioning Sensorium for Improved Image Translation.

Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021