Jian Zhang - RankMe

27 papers A* 5A 2Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	PipeMare: Asynchronous Pipeline Parallel DNN Training. MLSys Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
2020	A*	`conf`	Contextual Embeddings: When Are They Worth It? ACL Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Contextual Embeddings: When Are They Worth It? CoRR Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Revisiting BFloat16 Training. CoRR Pedram Zamirai, Jian Zhang, Christopher R. Aberger, Christopher De Sa
2020	—	`conf`	Understanding the Downstream Instability of Word Embeddings. MLSys Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2020	J	`jnl`	Understanding the Downstream Instability of Word Embeddings. CoRR Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2019	J	`jnl`	Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2019	J	`jnl`	Low-Memory Neural Network Training: A Technical Report. CoRR Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré
2019	A	`conf`	Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS Jian Zhang, Avner May, Tri Dao, Christopher Ré
2019	A*	`conf`	On the Downstream Performance of Compressed Word Embeddings. NeurIPS Avner May, Jian Zhang, Tri Dao, Christopher Ré
2019	J	`jnl`	On the Downstream Performance of Compressed Word Embeddings. CoRR Avner May, Jian Zhang, Tri Dao, Christopher Ré
2019	J	`jnl`	PipeMare: Asynchronous Pipeline Parallel DNN Training. CoRR Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
2019	—	`—`	Understanding and optimizing the statistical performance of machine learning models under memory budgets. Jian Zhang
2019	—	`conf`	YellowFin and the Art of Momentum Tuning. SysML Jian Zhang, Ioannis Mitliagkas
2018	J	`jnl`	Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2018	—	`conf`	Exploring the Utility of Developer Exhaust. DEEM@SIGMOD Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
2018	J	`jnl`	High-Accuracy Low-Precision Training. CoRR Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré
2018	J	`jnl`	Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR Jian Zhang, Avner May, Tri Dao, Christopher Ré
2017	J	`jnl`	Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR 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
2017	A	`conf`	Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC 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
2017	J	`jnl`	YellowFin and the Art of Momentum Tuning. CoRR Jian Zhang, Ioannis Mitliagkas, Christopher Ré
2016	J	`jnl`	Parallel SGD: When does averaging help? CoRR Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré
2016	A*	`conf`	SQuAD: 100, 000+ Questions for Machine Comprehension of Text. EMNLP Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
2016	J	`jnl`	SQuAD: 100, 000+ Questions for Machine Comprehension of Text. CoRR Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
2015	A*	`conf`	Higher-Order Inference for Multi-class Log-Supermodular Models. ICCV Jian Zhang, Josip Djolonga, Andreas Krause
2014	—	`conf`	Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS Jian Zhang, Alexander G. Schwing, Raquel Urtasun
2013	A*	`conf`	Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun