Zhe Zhao

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All published works

Action	Title	Year	Authors
+	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems	2024	Nikhil Khani Li Wei Aniruddh Nath Shawn Andrews Shuo Yang Yang Liu Pendo Abbo Maciej Kula J H Kahn Zhe Zhao
+	Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction	2024	Yi Wu Daryl Chang Jennifer She Zhe Zhao Li Wei Lukasz Heldt
+ PDF Chat	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems	2024	Nikhil Khani Shuo Yang Aniruddh Nath Yang Liu Pendo Abbo Wei Li Shawn Andrews Maciej Kula J H Kahn Zhe Zhao
+ PDF Chat	Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals	2024	Yupei Wang Renfen Hu Zhe Zhao
+ PDF Chat	Weight-Inherited Distillation for Task-Agnostic BERT Compression	2024	Taiqiang Wu Cheng Hou Shanshan Lao Jiayi Li Ngai Wong Zhe Zhao Yujiu Yang
+ PDF Chat	COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search	2023	Shibal Ibrahim Wenyu Chen Hussein Hazimeh Natalia Ponomareva Zhe Zhao Rahul Mazumder
+	Fast as CHITA: Neural Network Pruning with Combinatorial Optimization	2023	Riade Benbaki Wenyu Chen Meng Xiang Hussein Hazimeh Natalia Ponomareva Zhe Zhao Rahul Mazumder
+	Weight-Inherited Distillation for Task-Agnostic BERT Compression	2023	Taiqiang Wu Cheng Hou Zhe Zhao Shanshan Lao Jiayi Li Ngai Wong Yujiu Yang
+	Scalable Bayesian Inference for Detection and Deblending in Astronomical Images	2022	Derek L. Hansen Ismael Mendoza Runjing Liu Ziteng Pang Zhe Zhao Camille Avestruz Jeffrey Regier
+	M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval	2022	Shuo Liu Weize Quan Ming Zhou Sihong Chen Jian Kang Zhe Zhao Chen Chen Dong‐Ming Yan
+	STTAR: Surgical Tool Tracking using off-the-shelf Augmented Reality Head-Mounted Displays	2022	Alejandro Martin‐Gomez Haowei Li Tianyu Song Sheng Yang Guangzhi Wang Hui Ding Nassir Navab Zhe Zhao Mehran Armand
+	TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities	2022	Zhe Zhao Yudong Li Cheng Hou Jing Zhao Rong Tian Weijie Liu Yiren Chen Ningyuan Sun Haoyan Liu Weiquan Mao
+	Efficiently Identifying Task Groupings for Multi-Task Learning	2021	Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn
+	Efficiently Identifying Task Groupings for Multi-Task Learning	2021	Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn
+	The Benchmark Lottery.	2021	Mostafa Dehghani Yi Tay Alexey A. Gritsenko Zhe Zhao Neil Houlsby Fernando Díaz Donald Metzler Oriol Vinyals
+	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning	2021	Hussein Hazimeh Zhe Zhao Aakanksha Chowdhery Maheswaran Sathiamoorthy Yihua Chen Rahul Mazumder Lichan Hong Ed H.
+	Understanding and Improving Knowledge Distillation	2020	Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Sagar Jain
+	HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections	2020	Yi Tay Zhe Zhao Dara Bahri Donald Metzler Da-Cheng Juan
+	Small Towers Make Big Differences	2020	Yuyan Wang Zhe Zhao Bo Dai Christopher Fifty Dong Lin Lichan Hong Ed H.
+	Measuring and Harnessing Transference in Multi-Task Learning	2020	Chris Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn
+	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model	2020	Jiaqi Ma Xinyang Yi Weijing Tang Zhe Zhao Lichan Hong Ed H. Qiaozhu Mei
+	Fairness in Recommendation Ranking through Pairwise Comparisons	2019	Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei Yi Wu Lukasz Heldt Zhe Zhao Lichan Hong Ed H.
+	Fairness in Recommendation Ranking through Pairwise Comparisons	2019	Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei Yi Wu Lukasz Heldt Zhe Zhao Lichan Hong Ed H.
+	On the Real-time Prediction Problems of Bursting Hashtags in Twitter	2014	Shoubin Kong Qiaozhu Mei Ling Feng Zhe Zhao Fei Ye

Common Coauthors

Coauthor	Papers Together
Ed H.	8
Lichan Hong	7
Tianhe Yu	3
Chelsea Finn	3
Hussein Hazimeh	3
Rahul Mazumder	3
Ehsan Amid	3
Taiqiang Wu	3
Rohan Anil	3
Christopher Fifty	3
Lukasz Heldt	3
Cheng Hou	3
Donald Metzler	2
Cristos Goodrow	2
Yujiu Yang	2
Natalia Ponomareva	2
Pendo Abbo	2
Wenyu Chen	2
Qiaozhu Mei	2
Li Wei	2
Yi Tay	2
Shawn Andrews	2
Yi Wu	2
Maciej Kula	2
Hai Qian	2
Chen Chen	2
Aniruddh Nath	2
Jilin Chen	2
Tulsee Doshi	2
Shanshan Lao	2
Ngai Wong	2
Alex Beutel	2
Li Wei	2
J H Kahn	2
Xiaoshuai Chen	1
Weiquan Mao	1
Yang Liu	1
Rong Tian	1
Zhu Tao	1
Riade Benbaki	1
Shoubin Kong	1
Renfen Hu	1
Ziteng Pang	1
Hui Ding	1
Da-Cheng Juan	1
Dong‐Ming Yan	1
Jing Zhao	1
Jeffrey Regier	1
Tianyu Song	1
Maheswaran Sathiamoorthy	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Overview of Multi-Task Learning in Deep Neural Networks	2017	Sebastian Ruder	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+	Pareto Multi-Task Learning	2019	Xi Lin Hui‐Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+	Which Tasks Should Be Learned Together in Multi-task Learning?	2019	Trevor Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese	3
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	3
+	Small Towers Make Big Differences	2020	Yuyan Wang Zhe Zhao Bo Dai Christopher Fifty Dong Lin Lichan Hong Ed H.	3
+ PDF Chat	Gradient Surgery for Multi-Task Learning	2020	Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn	3
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	3
+ PDF Chat	A Model of Inductive Bias Learning	2000	J. Baxter	3
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	3
+	Chameleon: Learning Model Initializations Across Tasks With Different Schemas	2019	Lukas Brinkmeyer Rafael Rêgo Drumond Randolf Scholz Josif Grabocka Lars Schmidt-Thieme	2
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	2
+	ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators	2020	Kevin Clark Minh-Thang Luong Quoc V. Le Christopher D. Manning	2
+	A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference	2018	Adina Williams Nikita Nangia Samuel Bowman	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+ PDF Chat	Cross-Stitch Networks for Multi-task Learning	2016	Ishan Misra Abhinav Shrivastava Abhinav Gupta Martial Hebert	2
+	Synthesizer: Rethinking Self-Attention in Transformer Models	2020	Yi Tay Dara Bahri Donald Metzler Da-Cheng Juan Zhe Zhao Che Zheng	2
+	Mitigating Unwanted Biases with Adversarial Learning	2018	Brian Hu Zhang Blake Lemoine Margaret Mitchell	2
+ PDF Chat	Top-K Off-Policy Correction for a REINFORCE Recommender System	2019	Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H.	2
+	On Fairness and Calibration	2017	Geoff Pleiss Manish Raghavan Felix Wu Jon Kleinberg Kilian Q. Weinberger	2
+	Ranking via Sinkhorn Propagation	2011	Ryan P. Adams Richard S. Zemel	2
+ PDF Chat	Exploring author gender in book rating and recommendation	2018	Michael D. Ekstrand Mucun Tian Mohammed R. Imran Kazi Hoda Mehrpouyan Daniel Kluver	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	2
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	2
+ PDF Chat	A Modulation Module for Multi-task Learning with Applications in Image Retrieval	2018	Xiangyun Zhao Haoxiang Li Xiaohui Shen Xiaodan Liang Ying Wu	2
+	Fairness-Aware Tensor-Based Recommendation	2018	Ziwei Zhu Xia Hu James Caverlee	2
+	Regularizing Deep Multi-Task Networks using Orthogonal Gradients	2019	Mihai Şuteu Yike Guo	2
+	Know What You Don’t Know: Unanswerable Questions for SQuAD	2018	Pranav Rajpurkar Robin Jia Percy Liang	2
+	Fairness of Exposure in Rankings	2018	Ashudeep Singh Thorsten Joachims	2
+	A Survey on Multi-Task Learning	2017	Yu Zhang Qiang Yang	2
+	GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks	2017	Zhao Chen Vijay Badrinarayanan Chen‐Yu Lee Andrew Rabinovich	2
+	Learning Adversarially Fair and Transferable Representations	2018	David Madras Elliot Creager Toniann Pitassi Richard S. Zemel	2
+	Trace Norm Regularised Deep Multi-Task Learning	2016	Yongxin Yang Timothy M. Hospedales	2
+	Recasting Gradient-Based Meta-Learning as Hierarchical Bayes	2018	Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas L. Griffiths	2
+	Large scale distributed neural network training through online distillation	2018	Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton	2
+	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	2
+	Unbiased Learning-to-Rank with Biased Feedback	2017	Thorsten Joachims Adith Swaminathan Tobias Schnabel	2
+ PDF Chat	Assessing calibration of prognostic risk scores	2013	Cynthia S. Crowson Elizabeth J. Atkinson Terry M. Therneau	2
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	2
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	2
+ PDF Chat	Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification	2017	Yongxi Lu Abhishek Kumar Shuangfei Zhai Yu Cheng Tara Javidi Rogério Feris	2
+	The Information Complexity of Learning Tasks, their Structure and their Distance	2019	Alessandro Achille Giovanni Paolini Glen Bigan Mbeng Stefano Soatto	2
+	Unbiased Comparative Evaluation of Ranking Functions	2016	Tobias Schnabel Adith Swaminathan Peter I. Frazier Thorsten Joachims	2
+	On conditional parity as a notion of non-discrimination in machine learning	2017	Ya’acov Ritov Yuekai Sun Ruofei Zhao	2
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	2
+ PDF Chat	FA*IR	2017	Meike Zehlike Francesco Bonchi Carlos Castillo Sara Hajian M. Megahed Ricardo Baeza‐Yates	2
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	2