Understanding and Robustifying Differentiable Architecture Search

20 September 2019

Thomas Brox

Papers citing "Understanding and Robustifying Differentiable Architecture Search"

36 / 36 papers shown

Title
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition Huafeng Qin Hongyu Zhu Xin Jin Xin Yu M. El-Yacoubi Xinbo Gao 68 0 0 22 Sep 2024
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 128 0 0 23 May 2023
DrNAS: Dirichlet Neural Architecture Search Xiangning Chen Ruochen Wang Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh OOD 37 100 0 18 Jun 2020
Best Practices for Scientific Research on Neural Architecture Search Marius Lindauer Frank Hutter 38 143 0 05 Sep 2019
AutoDispNet: Improving Disparity Estimation With AutoML Tonmoy Saikia Yassine Marrakchi Arber Zela Frank Hutter Thomas Brox 65 78 0 17 May 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 34 343 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 54 719 0 20 Feb 2019
Probabilistic Neural Architecture Search F. P. Casale Jonathan Gordon Nicolò Fusi TPM 33 75 0 13 Feb 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei SSeg 88 976 0 10 Jan 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 59 932 0 24 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 73 1,865 0 02 Dec 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 46 159 0 18 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 151 1,077 0 04 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 165 4,326 0 24 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 171 722 0 13 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 40 210 0 07 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 179 499 0 24 Apr 2018
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries Z. Yao A. Gholami Qi Lei Kurt Keutzer Michael W. Mahoney 51 166 0 22 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 76 2,761 0 09 Feb 2018
On Optimal Generalizability in Parametric Learning Ahmad Beirami Meisam Razaviyayn Shahin Shahrampour Vahid Tarokh 35 52 0 14 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 52 231 0 13 Nov 2017
Hierarchical Representations for Efficient Architecture Search Hanxiao Liu Karen Simonyan Oriol Vinyals Chrisantha Fernando Koray Kavukcuoglu 3DV 69 925 0 01 Nov 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 81 3,739 0 15 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 139 5,577 0 21 Jul 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 202 414 0 06 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 91 1,631 0 03 Mar 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju Hormoz Shahrzad Arshak Navruzyan Nigel P. Duffy Babak Hodjat 74 886 0 01 Mar 2017
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 82 1,466 0 07 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 82 769 0 06 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 378 5,362 0 05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 355 2,922 0 15 Sep 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 49 226 0 08 Jun 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 85 449 0 07 Feb 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 50 2,625 0 07 Dec 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 247 4,159 0 26 Apr 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 167 941 0 11 Feb 2015