Dai, Zihang

17 publications

ICLR 2022 SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
ICML 2022 Transformer Quality in Linear Time Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc Le
NeurIPS 2021 CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai, Hanxiao Liu, Quoc V Le, Mingxing Tan
NeurIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
CVPR 2021 Meta Pseudo Labels Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le
NeurIPS 2021 Pay Attention to MLPs Hanxiao Liu, Zihang Dai, David So, Quoc V Le
NeurIPS 2021 Searching for Efficient Transformers for Language Modeling David So, Wojciech Mańke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V Le
ICLR 2020 A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama
NeurIPS 2020 Funnel-Transformer: Filtering Out Sequential Redundancy for Efficient Language Processing Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le
NeurIPS 2020 Unsupervised Data Augmentation for Consistency Training Qizhe Xie, Zihang Dai, Eduard Hovy, Thang Luong, Quoc V. Le
AAAI 2019 Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy
NeurIPS 2019 Re-Examination of the Role of Latent Variables in Sequence Modeling Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
NeurIPS 2019 XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V Le
ICLR 2018 Breaking the SoftMax Bottleneck: A High-Rank RNN Language Model Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
ICLR 2017 Calibrating Energy-Based Generative Adversarial Networks Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville
NeurIPS 2017 Controllable Invariance Through Adversarial Feature Learning Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy, Graham Neubig
NeurIPS 2017 Good Semi-Supervised Learning That Requires a Bad GAN Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov