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Jason Liang

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Asynchronous Evolution of Deep Neural Network Architectures

Aug 08, 2023
Jason Liang, Hormoz Shahrzad, Risto Miikkulainen

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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

Jun 23, 2022
Hendrik Borras, Giuseppe Di Guglielmo, Javier Duarte, Nicolò Ghielmetti, Ben Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda, Michaela Blott

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Designing Counterfactual Generators using Deep Model Inversion

Oct 05, 2021
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias

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Training Stacked Denoising Autoencoders for Representation Learning

Feb 16, 2021
Jason Liang, Keith Kelly

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Population-Based Training for Loss Function Optimization

Feb 11, 2020
Jason Liang, Santiago Gonzalez, Risto Miikkulainen

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Evolutionary Neural AutoML for Deep Learning

Apr 09, 2019
Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, Risto Miikkulainen

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Evolutionary Architecture Search For Deep Multitask Networks

Apr 17, 2018
Jason Liang, Elliot Meyerson, Risto Miikkulainen

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Evolving Deep Neural Networks

Mar 04, 2017
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat

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