Jian Zhang

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 22

Top Topics

Directed Graphical Models

Weighted Averaging

Machine Learning

Neural Network Training

Top Venues

Publications

Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
PipeMare: Asynchronous Pipeline Parallel DNN Training. MLSys (2021)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. CoRR (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? CoRR (2020)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. MLSys (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? ACL (2020)
Jian Zhang, Avner May, Tri Dao, Christopher Ré
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS (2019)
Jian Zhang, Ioannis Mitliagkas
YellowFin and the Art of Momentum Tuning. MLSys (2019)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Avner May, Jian Zhang, Tri Dao, Christopher Ré
On the Downstream Performance of Compressed Word Embeddings. CoRR (2019)
Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
PipeMare: Asynchronous Pipeline Parallel DNN Training. CoRR (2019)
Avner May, Jian Zhang, Tri Dao, Christopher Ré
On the Downstream Performance of Compressed Word Embeddings. NeurIPS (2019)
Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré
Low-Memory Neural Network Training: A Technical Report. CoRR (2019)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR (2018)
Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré
High-Accuracy Low-Precision Training. CoRR (2018)
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD (2018)
Jian Zhang, Avner May, Tri Dao, Christopher Ré
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR (2018)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC (2017)
Jian Zhang, Ioannis Mitliagkas, Christopher Ré
YellowFin and the Art of Momentum Tuning. CoRR (2017)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR (2017)
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. EMNLP (2016)
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. CoRR (2016)
Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
Parallel SGD: When does averaging help? CoRR (2016)
Jian Zhang, Josip Djolonga, Andreas Krause
Higher-Order Inference for Multi-class Log-Supermodular Models. ICCV (2015)
Jian Zhang, Alexander G. Schwing, Raquel Urtasun
Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS (2014)
Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV (2013)