Yu, Adams Wei

19 publications

ECCV 2024 HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi

ICLR 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

NeurIPS 2023 DoReMi: Optimizing Data Mixtures Speeds up Language Model Pretraining Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V Le, Tengyu Ma, Adams Wei Yu

CVPR 2022 DeepFusion: LiDAR-Camera Deep Fusion for Multi-Modal 3D Object Detection Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan

NeurIPS 2022 Does GNN Pretraining Help Molecular Representation? Ruoxi Sun, Hanjun Dai, Adams Wei Yu

ICLR 2022 Finetuned Language Models Are Zero-Shot Learners Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V Le

ICML 2022 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du, Yanping Huang, Andrew M Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P Bosma, Zongwei Zhou, Tao Wang, Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc Le, Yonghui Wu, Zhifeng Chen, Claire Cui

ICLR 2022 SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao

NeurIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

ICLR 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

JMLR 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization Lin Xiao, Adams Wei Yu, Qihang Lin, Weizhu Chen

AAAI 2018 Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

ICLR 2018 QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le

JMLR 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models Yining Wang, Adams Wei Yu, Aarti Singh

AISTATS 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization Suvrit Sra, Adams Wei Yu, Mu Li, Alexander J. Smola

COLT 2016 An Improved Gap-Dependency Analysis of the Noisy Power Method Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu

NeurIPS 2014 Efficient Structured Matrix Rank Minimization Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime Carbonell, Suvrit Sra

ICML 2014 Saddle Points and Accelerated Perceptron Algorithms Adams Wei Yu, Fatma Kilinc-Karzan, Jaime Carbonell

ICML 2012 Efficient Euclidean Projections onto the Intersection of Norm Balls Adams Wei Yu, Hao Su, Li Fei-Fei