Neural Architecture Search with Bayesian Optimisation and Optimal Transport

11 February 2018

Kirthevasan Kandasamy

Papers citing "Neural Architecture Search with Bayesian Optimisation and Optimal Transport"

50 / 127 papers shown

Title
$L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning$ L $^{2}$ NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning Keith G. Mills Fred X. Han Mohammad Salameh Seyed Saeed Changiz Rezaei Linglong Kong Wei Lu Shuo Lian Shangling Jui Di Niu 42 10 0 25 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 62 10 0 13 Sep 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization Huiqun Wang Ruijie Yang Di Huang Yunhong Wang 16 27 0 25 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 27 0 0 12 Aug 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation Shangshang Yang Ye Tian Xiaoshu Xiang Shichen Peng Xing-yi Zhang 29 20 0 10 Aug 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 20 14 0 23 Jul 2021
Mutation is all you need Lennart Schneider Florian Pfisterer Martin Binder B. Bischl BDL 60 4 0 04 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 34 20 0 17 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 34 47 0 03 Jun 2021
FNAS: Uncertainty-Aware Fast Neural Architecture Search Jihao Liu Ming Zhang Yangting Sun B. Liu Guanglu Song Yu Liu Hongsheng Li 30 7 0 25 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 44 46 0 02 May 2021
How Powerful are Performance Predictors in Neural Architecture Search? Colin White Arber Zela Binxin Ru Yang Liu Frank Hutter 22 126 0 02 Apr 2021
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition Pengzhen Ren Gang Xiao Xiaojun Chang Yun Xiao Zhihui Li Xiaojiang Chen ViT 32 4 0 17 Mar 2021
Neuroevolution in Deep Learning: The Role of Neutrality E. López 18 4 0 16 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 160 44 0 16 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 24 24 0 14 Feb 2021
Searching for Fast Model Families on Datacenter Accelerators Sheng Li Mingxing Tan Ruoming Pang Andrew Li Liqun Cheng Quoc V. Le N. Jouppi 39 34 0 10 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
On the performance of deep learning for numerical optimization: an application to protein structure prediction H. Rakhshani L. Idoumghar Soheila Ghambari Julien Lepagnot Mathieu Brévilliers 19 9 0 17 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis Łukasz Dudziak Nicholas D. Lane BDL 15 104 0 27 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 46 10 0 19 Oct 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 30 2 0 05 Oct 2020
BOSS: Bayesian Optimization over String Spaces Henry B. Moss Daniel Beck Javier I. González David S. Leslie Paul Rayson 11 68 0 02 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms Yizhou Sun Xian Sun Yuhan Fang Gary G. Yen 19 41 0 30 Aug 2020
Can weight sharing outperform random architecture search? An investigation with TuNAS Gabriel Bender Hanxiao Liu Bo Chen Grace Chu Shuyang Cheng Pieter-Jan Kindermans Quoc V. Le OOD 18 121 0 13 Aug 2020
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach A. Nwachuku X. Palmer D. Akogo 44 0 0 26 Jul 2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification Xiaofang Wang Xuehan Xiong Maxim Neumann A. Piergiovanni Michael S. Ryoo A. Angelova Kris Kitani Wei Hua 24 51 0 23 Jul 2020
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks Shoukang Hu Xurong Xie Shansong Liu Mingyu Cui Mengzhe Geng Xunying Liu Helen Meng 21 8 0 17 Jul 2020
NASGEM: Neural Architecture Search via Graph Embedding Method Hsin-Pai Cheng Tunhou Zhang Yixing Zhang Shiyu Li Feng Liang Feng Yan Meng Li Vikas Chandra H. Li Yiran Chen GNN 31 19 0 08 Jul 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer Jacob R. Gardner Roman Garnett 21 44 0 29 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 25 48 0 18 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 37 15 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 34 100 0 12 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 29 129 0 09 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 20 36 0 08 Jun 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference Qian Lou B. Song Lei Jiang 25 35 0 07 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 79 655 0 01 Jun 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization Jingfan Chen Guanghui Zhu Chun Yuan Yihua Huang 25 15 0 29 May 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 33 27 0 22 May 2020
GEVO: GPU Code Optimization using Evolutionary Computation Jhe-Yu Liou Xiaodong Wang Stephanie Forrest Carole-Jean Wu 30 2 0 17 Apr 2020
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang AI4CE 32 99 0 04 Apr 2020
Neural Architecture Generator Optimization Binxin Ru P. Esperança Fabio Maria Carlucci 20 40 0 03 Apr 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 27 34 0 09 Mar 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining Shou-Yong Hu Sirui Xie Hehui Zheng Chunxiao Liu Jianping Shi Xunying Liu Dahua Lin 24 130 0 21 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 29 485 0 12 Feb 2020