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Betty: An Automatic Differentiation Library for Multilevel Optimization


Jul 05, 2022
Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric Xing


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SDQ: Stochastic Differentiable Quantization with Mixed Precision


Jun 17, 2022
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang-Ting Cheng

* ICML 2022 

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Stochastic Neural Networks with Infinite Width are Deterministic


Jan 30, 2022
Liu Ziyin, Hanlin Zhang, Xiangming Meng, Yuting Lu, Eric Xing, Masahito Ueda


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Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space


Jan 03, 2022
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric Xing

* Technical report 

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Data-Free Neural Architecture Search via Recursive Label Calibration


Dec 03, 2021
Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner

* Technical report 

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A Fast Knowledge Distillation Framework for Visual Recognition


Dec 02, 2021
Zhiqiang Shen, Eric Xing

* Our project page: http://zhiqiangshen.com/projects/FKD/index.html, code and models are available at: https://github.com/szq0214/FKD 

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Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation


Nov 29, 2021
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric Xing, Zhiqiang Shen

* Technical report 

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Learning from Mistakes -- A Framework for Neural Architecture Search


Nov 11, 2021
Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric Xing, Pengtao Xie


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Sliced Recursive Transformer


Nov 09, 2021
Zhiqiang Shen, Zechun Liu, Eric Xing

* Code and models are available at https://github.com/szq0214/SReT 

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