Denny Zhou

According to our database, Denny Zhou authored at least 77 papers between 2015 and 2024.

Collaborative distances:

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

2024

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

J. Mach. Learn. Res., 2024

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.

Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2024

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments.

Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong

CoRR, 2024

Best Practices and Lessons Learned on Synthetic Data for Language Models.

Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai

CoRR, 2024

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma

CoRR, 2024

Chain-of-Thought Reasoning Without Prompting.

Xuezhi Wang, Denny Zhou

CoRR, 2024

Transformers Can Achieve Length Generalization But Not Robustly.

Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou

CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.

Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng

CoRR, 2024

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Premise Order Matters in Reasoning with Large Language Models.

Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.

Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Analogical Reasoners.

Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Optimizers.

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching Large Language Models to Self-Debug.

Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Tool Makers.

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models Cannot Self-Correct Reasoning Yet.

Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Zhiyuan Liu, Hong Liu, Denny Zhou, Tengyu Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

Universal Self-Consistency for Large Language Model Generation.

Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

CoRR, 2023

Instruction-Following Evaluation for Large Language Models.

Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, Le Hou

CoRR, 2023

Large Language Models can Learn Rules.

Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai

CoRR, 2023

Simple synthetic data reduces sycophancy in large language models.

Jerry W. Wei, Da Huang, Yifeng Lu, Denny Zhou, Quoc V. Le

CoRR, 2023

Training Socially Aligned Language Models in Simulated Human Society.

Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M. Dai, Diyi Yang, Soroush Vosoughi

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

CoRR, 2023

Larger language models do in-context learning differently.

Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma

CoRR, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou

Proceedings of the International Conference on Machine Learning, 2023

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.

Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts

Proceedings of the International Conference on Machine Learning, 2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TEMPERA: Test-Time Prompt Editing via Reinforcement Learning.

Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez

Proceedings of the Eleventh International Conference on Learning Representations, 2023

UL2: Unifying Language Learning Paradigms.

Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Recitation-Augmented Language Models.

Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language models are multilingual chain-of-thought reasoners.

Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mind's Eye: Grounded Language Model Reasoning through Simulation.

Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Compositional Semantic Parsing with Large Language Models.

Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

What learning algorithm is in-context learning? Investigations with linear models.

Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symbol tuning improves in-context learning in language models.

Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le

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

Transcending Scaling Laws with 0.1% Extra Compute.

Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani

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

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Emergent Abilities of Large Language Models.

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus

Trans. Mach. Learn. Res., 2022

TEMPERA: Test-Time Prompting via Reinforcement Learning.

Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez

CoRR, 2022

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

CoRR, 2022

Rationale-Augmented Ensembles in Language Models.

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi

CoRR, 2022

Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

CoRR, 2022

Chain of Thought Prompting Elicits Reasoning in Large Language Models.

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, Denny Zhou

CoRR, 2022

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.

Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs.

Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.

Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Auto-scaling Vision Transformers without Training.

Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.

Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Token Dropping for Efficient BERT Pretraining.

Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.

Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

CoRR, 2021

Speeding up Deep Model Training by Sharing Weights and Then Unsharing.

Shuo Yang, Le Hou, Xiaodan Song, Qiang Liu, Denny Zhou

CoRR, 2021

LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs.

Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

SpreadsheetCoder: Formula Prediction from Semi-structured Context.

Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

Fast WordPiece Tokenization.

Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Extremely Small BERT Models from Mixed-Vocabulary Training.

Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Linear-Time WordPiece Tokenization.

Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou

CoRR, 2020

Compositional Generalization via Neural-Symbolic Stack Machines.

Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep State-Space Generative Model For Correlated Time-to-Event Predictions.

Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks.

Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans

Proceedings of the 37th International Conference on Machine Learning, 2020

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection.

Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning.

Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

Proceedings of the 8th International Conference on Learning Representations, 2020

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension.

Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

Proceedings of the 8th International Conference on Learning Representations, 2020

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Deep Physiological State Space Model for Clinical Forecasting.

Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui

CoRR, 2019

Extreme Language Model Compression with Optimal Subwords and Shared Projections.

Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou

CoRR, 2019

Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference.

Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang

CoRR, 2019

Neural Logic Machines.

Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

Proceedings of the 7th International Conference on Learning Representations, 2019

2015

Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing.

Nihar Bhadresh Shah, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015