Speeding up NAS with Adaptive Subset Selection

2 November 2022

Ganesh Ramakrishnan

Papers citing "Speeding up NAS with Adaptive Subset Selection"

25 / 25 papers shown

Title
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 85 91 0 13 Jan 2023
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty Guttu Sai Abhishek Aakriti A. Evfimievski Lucian Popa Ganesh Ramakrishnan Rishabh K. Iyer 42 25 0 15 Mar 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 65 12 0 22 Feb 2022
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 95 38 0 10 Nov 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 58 175 0 10 Aug 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 129 201 0 27 Feb 2021
Zero-Cost Proxies for Lightweight NAS Mohamed S. Abdelfattah Abhinav Mehrotra Łukasz Dudziak Nicholas D. Lane 65 257 0 20 Jan 2021
Neural Architecture Search without Training J. Mellor Jack Turner Amos Storkey Elliot J. Crowley 61 384 0 08 Jun 2020
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining Xiaoliang Dai Alvin Wan Peizhao Zhang Bichen Wu Zijian He ... Kan Chen Yuandong Tian Matthew Yu Peter Vajda Joseph E. Gonzalez 57 73 0 03 Jun 2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search Aditya Rawal Joel Lehman F. Such Jeff Clune Kenneth O. Stanley AI4CE 41 6 0 27 May 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 135 711 0 02 Jan 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 95 320 0 25 Oct 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 129 372 0 20 Sep 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 74 608 0 12 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 137 18,115 0 28 May 2019
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 63 384 0 13 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 203 1,096 0 04 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,354 0 24 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 225 3,463 0 09 Mar 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 79 607 0 11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 107 2,763 0 09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 153 3,031 0 05 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 456 5,372 0 05 Nov 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 222 2,327 0 21 Mar 2016