NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

2 January 2020

Yi Yang

Papers citing "NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search"

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Title
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 29 26 0 27 Jul 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks Charles Edison Tripp J. Perr-Sauer L. Hayne M. Lunacek Jamil Gafur AI4CE 21 0 0 25 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 31 72 0 20 Jul 2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS Zixuan Zhou Xuefei Ning Y. Cai Jiashu Han Yiping Deng Yuhan Dong Huazhong Yang Yu Wang 3DPC 25 12 0 16 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism Xiangning Xie Yuqiao Liu Yanan Sun Mengjie Zhang Kay Chen Tan GNN AI4CE 17 2 0 03 Jul 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 24 26 0 18 Jun 2022
Multifidelity Reinforcement Learning with Control Variates Sami Khairy Prasanna Balaprakash OffRL 28 5 0 10 Jun 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Yang Li Yu Shen Huaijun Jiang Wentao Zhang Zhi-Xin Yang Ce Zhang Bin Cui 20 15 0 06 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning Yang Li Yu Shen Huaijun Jiang Tianyi Bai Wentao Zhang Ce Zhang Bin Cui 30 13 0 06 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 30 41 0 03 Jun 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen Xingyou Song Chansoo Lee Z. Wang Qiuyi Zhang ... Greg Kochanski Arnaud Doucet MarcÁurelio Ranzato Sagi Perel Nando de Freitas 24 63 0 26 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 30 16 0 11 May 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search Yameng Peng A. Song V. Ciesielski Haytham M. Fayek Xiaojun Chang 21 14 0 27 Apr 2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search Minbin Huang Zhijian Huang Changlin Li Xin Chen Hangyang Xu Zhenguo Li Xiaodan Liang 30 18 0 12 Apr 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search Guocheng Qian Xuanyang Zhang G. Li Chen Zhao Yukang Chen X. Zhang Bernard Ghanem Jian-jun Sun 37 4 0 11 Apr 2022
Novelty Driven Evolutionary Neural Architecture Search Nilotpal Sinha Kuan-Wen Chen 11 8 0 01 Apr 2022
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement M. Das Brijraj Singh Harsh Chheda Pawan Sharma NS Pradeep 25 0 0 29 Mar 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 23 23 0 29 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient Jovita Lukasik Steffen Jung M. Keuper 21 15 0 16 Mar 2022
Less is More: Proxy Datasets in NAS approaches Brian B. Moser Federico Raue Jörn Hees Andreas Dengel DD 11 6 0 14 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 28 5 0 10 Mar 2022
$β$ -DARTS: Beta-Decay Regularization for Differentiable Architecture Search Peng Ye Baopu Li Yikang Li Tao Chen Jiayuan Fan Wanli Ouyang 13 101 0 03 Mar 2022
Neural Architecture Search using Progressive Evolution Nilotpal Sinha Kuan-Wen Chen 19 6 0 03 Mar 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 27 7 0 07 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 21 88 0 23 Jan 2022
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics Chunheng Jiang Tejaswini Pedapati Pin-Yu Chen Yizhou Sun Jianxi Gao 21 2 0 11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior Metin Ersin Arican Ozgur Kara G. Bredell E. Konukoglu 20 17 0 27 Nov 2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run Bichen Wu Chaojian Li Hang Zhang Xiaoliang Dai Peizhao Zhang Matthew Yu Jialiang Wang Yingyan Lin Peter Vajda ViT 27 23 0 19 Nov 2021
A Data-driven Approach to Neural Architecture Search Initialization Kalifou René Traoré Andrés Camero Xiao Xiang Zhu 21 3 0 05 Nov 2021
Guided Evolution for Neural Architecture Search Vasco Lopes Miguel Santos Bruno Degardin Luís A. Alexandre 30 9 0 28 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies Yu Shen Yang Li Jian Zheng Wentao Zhang Peng Yao Jixiang Li Sen Yang Ji Liu Cui Bin AI4CE 37 30 0 20 Oct 2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation Shengran Hu Ran Cheng Cheng He Zhichao Lu Jing Wang Miao Zhang 32 7 0 08 Oct 2021
Delve into the Performance Degradation of Differentiable Architecture Search Jiuling Zhang Zhiming Ding 33 1 0 28 Sep 2021
$L$^{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 19 10 0 25 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization Yao Shu Shaofeng Cai Zhongxiang Dai Beng Chin Ooi K. H. Low 16 43 0 02 Sep 2021
StressNAS: Affect State and Stress Detection Using Neural Architecture Search Lam Huynh Tri Nguyen Thu Nguyen Susanna Pirttikangas Pekka Siirtola 9 20 0 26 Aug 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 19 172 0 10 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Yuge Zhang Quan Zhang Li Lyna Zhang Yaming Yang Chenqian Yan Xiaotian Gao Yuqing Yang 33 0 0 06 Aug 2021
HyperJump: Accelerating HyperBand via Risk Modelling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 16 7 0 05 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization Guihong Li Sumit K. Mandal Ümit Y. Ogras R. Marculescu 25 20 0 01 Aug 2021
Homogeneous Architecture Augmentation for Neural Predictor Yuqiao Liu Yehui Tang Y. Sun 31 22 0 28 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
Bag of Tricks for Neural Architecture Search T. Elsken B. Staffler Arber Zela J. H. Metzen Frank Hutter 25 5 0 08 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung S. Hwang 40 43 0 02 Jul 2021
Exploring Robust Architectures for Deep Artificial Neural Networks Asim Waqas Ghulam Rasool Hamza Farooq N. Bouaynaya OOD AAML 24 14 0 30 Jun 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 23 0 23 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang Steven W. Su Shirui Pan Xiaojun Chang Ehsan Abbasnejad Reza Haffari 15 68 0 21 Jun 2021