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APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm

Aug 28, 2020
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang


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Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning

Jul 14, 2020
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar


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Emergence of Separable Manifolds in Deep Language Representations

Jun 06, 2020
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung

* 8 pages. 8 figures. Accepted to ICML 2020 

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Untangling in Invariant Speech Recognition

Mar 03, 2020
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung

* Advances in Neural Information Processing Systems. 2019 

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Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks

Jan 16, 2020
LĂ©opold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H Elibol, Hanlin Tang


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Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain

Nov 20, 2019
Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss


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MLPerf Inference Benchmark

Nov 06, 2019
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou


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MLPerf Training Benchmark

Oct 30, 2019
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia


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Central Server Free Federated Learning over Single-sided Trust Social Networks

Oct 11, 2019
Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu


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Using Image Priors to Improve Scene Understanding

Oct 02, 2019
Brigit Schroeder, Hanlin Tang, Alexandre Alahi

* Accepted to Women in Computer Vision (WiCV) Workshop at CVPR 2019 

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Triplet-Aware Scene Graph Embeddings

Sep 19, 2019
Brigit Schroeder, Subarna Tripathi, Hanlin Tang

* Accepted to Scene Graph Representation Learning workshop at ICCV 2019 

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$\texttt{DeepSqueeze}$: Decentralization Meets Error-Compensated Compression

Aug 03, 2019
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu


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$\texttt{DeepSqueeze}$: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression

Jul 17, 2019
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu


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Generalization to Novel Objects using Prior Relational Knowledge

Jun 26, 2019
Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun Bansal


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Amur Tiger Re-identification in the Wild

Jun 14, 2019
Shuyuan Li, Jianguo Li, Weiyao Lin, Hanlin Tang

* rearrangement 

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DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression

May 15, 2019
Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu


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Compact Scene Graphs for Layout Composition and Patch Retrieval

Apr 19, 2019
Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang

* To appear in CVPRW 2019 (CEFRL) 

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SpaceNet MVOI: a Multi-View Overhead Imagery Dataset

Mar 28, 2019
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, Hanlin Tang


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Using Scene Graph Context to Improve Image Generation

Jan 15, 2019
Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang

* arXiv admin note: text overlap with arXiv:1804.01622 by other authors 

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Distributed Learning over Unreliable Networks

Oct 17, 2018
Hanlin Tang, Chen Yu, Cedric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang


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Communication Compression for Decentralized Training

Sep 27, 2018
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu


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D$^2$: Decentralized Training over Decentralized Data

Apr 20, 2018
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu


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Recurrent computations for visual pattern completion

Apr 06, 2018
Hanlin Tang, Martin Schrimpf, Bill Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman


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