Deqing Fu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Image Generation

Negative Examples

Optimization Methods

Top Venues

Publications

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. CoRR (2024)
Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR (2024)
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
Simplicity Bias of Transformers to Learn Low Sensitivity Functions. CoRR (2024)
Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
Pre-trained Large Language Models Use Fourier Features to Compute Addition. CoRR (2024)
Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR (2023)
Deqing Fu, Ameya Godbole, Robin Jia
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. EMNLP (2023)
Deqing Fu, Ameya Godbole, Robin Jia
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. CoRR (2023)
Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models. CoRR (2023)
Deqing Fu, Bradley J. Nelson
Topological Regularization for Dense Prediction. ICMLA (2022)
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
Harnessing the Conditioning Sensorium for Improved Image Translation. CoRR (2021)
Deqing Fu, Bradley J. Nelson
Topological Regularization for Dense Prediction. CoRR (2021)
Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
Harnessing the Conditioning Sensorium for Improved Image Translation. ICCV (2021)