Zihang Dai - RankMe

52 papers A* 16B 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Combined scaling for zero-shot transfer learning. Neurocomputing Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le
2022	A*	`conf`	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
2022	A*	`conf`	Transformer Quality in Linear Time. ICML Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le
2022	J	`jnl`	Transformer Quality in Linear Time. CoRR Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le
2021	A*	`conf`	CoAtNet: Marrying Convolution and Attention for All Data Sizes. NeurIPS Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
2021	J	`jnl`	CoAtNet: Marrying Convolution and Attention for All Data Sizes. CoRR Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
2021	J	`jnl`	Combined Scaling for Zero-shot Transfer Learning. CoRR Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le
2021	A*	`conf`	Combiner: Full Attention Transformer with Sparse Computation Cost. NeurIPS Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
2021	J	`jnl`	Combiner: Full Attention Transformer with Sparse Computation Cost. CoRR Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
2021	A*	`conf`	Meta Pseudo Labels. CVPR Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le
2021	A*	`conf`	Pay Attention to MLPs. NeurIPS Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
2021	J	`jnl`	Pay Attention to MLPs. CoRR Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
2021	J	`jnl`	Primer: Searching for Efficient Transformers for Language Modeling. CoRR David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
2021	A*	`conf`	Searching for Efficient Transformers for Language Modeling. NeurIPS David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
2021	J	`jnl`	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
2020	A*	`conf`	A Mutual Information Maximization Perspective of Language Representation Learning. ICLR Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama
2020	A*	`conf`	Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. NeurIPS Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le
2020	J	`jnl`	Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. CoRR Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le
2020	J	`jnl`	Meta Pseudo Labels. CoRR Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le
2020	A*	`conf`	Unsupervised Data Augmentation for Consistency Training. NeurIPS Qizhe Xie, Zihang Dai, Eduard H. Hovy, Thang Luong, Quoc Le
2020	J	`jnl`	Unsupervised Parallel Corpus Mining on Web Data. CoRR Guokun Lai, Zihang Dai, Yiming Yang
2020	B	`conf`	Wiki-40B: Multilingual Language Model Dataset. LREC Mandy Guo, Zihang Dai, Denny Vrandecic, Rami Al-Rfou
2019	J	`jnl`	A Mutual Information Maximization Perspective of Language Representation Learning. CoRR Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama
2019	A*	`conf`	Characterizing and Avoiding Negative Transfer. CVPR Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell
2019	A*	`conf`	Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. AAAI Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy
2019	A*	`conf`	Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
2019	J	`jnl`	Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo
2019	J	`jnl`	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov
2019	—	`conf`	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov
2019	J	`jnl`	Unsupervised Data Augmentation. CoRR Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le
2019	A*	`conf`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2019	J	`jnl`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2018	—	`conf`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2018	J	`jnl`	Characterizing and Avoiding Negative Transfer. CoRR Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell
2018	J	`jnl`	Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. CoRR Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy
2018	—	`conf`	From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. ACL (1) Zihang Dai, Qizhe Xie, Eduard H. Hovy
2018	J	`jnl`	From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. CoRR Zihang Dai, Qizhe Xie, Eduard H. Hovy
2018	A*	`conf`	Large-scale Cloze Test Dataset Created by Teachers. EMNLP Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy
2018	A*	`conf`	SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. EMNLP Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig
2018	J	`jnl`	SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. CoRR Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig
2017	—	`conf`	An Interpretable Knowledge Transfer Model for Knowledge Base Completion. ACL (1) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy
2017	J	`jnl`	An Interpretable Knowledge Transfer Model for Knowledge Base Completion. CoRR Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy
2017	J	`jnl`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2017	—	`conf`	Calibrating Energy-based Generative Adversarial Networks. ICLR (Poster) Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville
2017	J	`jnl`	Calibrating Energy-based Generative Adversarial Networks. CoRR Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville
2017	—	`conf`	Controllable Invariance through Adversarial Feature Learning. NIPS Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig
2017	J	`jnl`	Controllable Invariance through Adversarial Feature Learning. CoRR Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig
2017	—	`conf`	Good Semi-supervised Learning That Requires a Bad GAN. NIPS Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Good Semi-supervised Learning that Requires a Bad GAN. CoRR Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Large-scale Cloze Test Dataset Designed by Teachers. CoRR Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy
2016	—	`conf`	CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. ACL (1) Zihang Dai, Lei Li, Wei Xu
2016	J	`jnl`	CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. CoRR Zihang Dai, Lei Li, Wei Xu