Shixiang Gu - Concepedia

Author

Shixiang Gu

Also Known As

Faust, Aleksandra, Gehrmann, Sebastian, Gu, S, Gu, Shixiang, Gu, Shixiang Shane, Matsuo, Yutaka, Shixiang Gu, Shixiang Shane Gu

Publications

11.3K

Citations

H-Index

Concepts

All Affiliations

Google (United States)Max Planck Institute for Intelligent Systems Max Planck Society University of Cambridge Massachusetts Institute of Technology

About

Shixiang Gu is an author at Google (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	44	10.5K
2	Education	4	4	130
3	Language Studies	4	4	2.5K
4	Health Sciences	2	2	60
5	Management	2	2	73

Shixiang Gu

Publications

10.7K

Citations

H-Index

Page 1

	Year	Citations
Categorical Reparameterization with Gumbel-Softmax Eric Jang, Shixiang Gu, Ben Poole arXiv (Cornell University) Natural Language ProcessingStructured PredictionEfficient Gradient EstimatorMachine LearningData Science	2016	3.2K
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates Shixiang Gu, Ethan Holly, Timothy Lillicrap, Artificial IntelligenceRobot ControlEngineeringMachine LearningDeep Reinforcement	2017	1.4K
Scaling Instruction-Finetuned Language Models Hyung Won Chung, Le Hou, Shayne Longpre, arXiv (Cornell University) Llm Fine-tuningEngineeringComputer ArchitectureSoftware EngineeringLarge Language Model	2022	1.2K
Large Language Models are Zero-Shot Reasoners Takeshi Kojima, Shixiang Gu, Machel Reid, arXiv (Cornell University) Artificial IntelligenceLlm Fine-tuningEngineeringLarge Language ModelLanguage Processing	2022	1.1K
Towards Deep Neural Network Architectures Robust to Adversarial Examples Shixiang Gu, Luca Rigazio arXiv (Cornell University) Artificial IntelligenceAdversarial ExamplesData AugmentationDeep Neural NetworksEngineering	2014	632
Continuous Deep Q-Learning with Model-based Acceleration Shixiang Gu, Timothy Lillicrap, Ilya Sutskever, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceDeep Reinforcement	2016	336
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum, Shixiang Gu, Honglak Lee, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceAutonomous Learning	2018	265
Categorical Reparameterization with Gumbel-Softmax Eric Jang, Shixiang Gu, Ben Poole arXiv (Cornell University) Natural Language ProcessingStructured PredictionEfficient Gradient EstimatorMachine LearningData Science	2016	217
Large Language Models Can Self-Improve Jiaxin Huang, Shixiang Gu, Le Hou, Artificial IntelligenceLlm Fine-tuningEngineeringLarge Language ModelLanguage Processing	2023	167
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto, Shixiang Gu arXiv (Cornell University) Artificial IntelligenceIncremental LearningEngineeringMachine LearningData Science	2021	164

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