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AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

26 March 2019

Papers citing "AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search"

34 / 34 papers shown

Title
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework Yiyang Zhao Yunzhuo Liu Bo Jiang Tian Guo 107 3 0 03 Jun 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions Yiyang Zhao Linnan Wang Tian Guo 145 1 0 01 Jun 2024
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy Fred Valdez Ameneyro E. López 55 2 0 07 Feb 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 116 12 0 14 Jan 2023
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction Yun Yi Haokui Zhang Wenze Hu Nannan Wang Xiaoyu Wang AI4TS AI4CE 73 11 0 15 Nov 2022
Automated Dominative Subspace Mining for Efficient Neural Architecture Search Yaofo Chen Yong Guo Daihai Liao Fanbing Lv Hengjie Song James Tin-Yau Kwok Mingkui Tan 88 4 0 31 Oct 2022
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism Xiangning Xie Yuqiao Liu Yanan Sun Mengjie Zhang Kay Chen Tan GNN AI4CE 68 2 0 03 Jul 2022
GPUNet: Searching the Deployable Convolution Neural Networks for GPUs Linnan Wang Chenhan D. Yu Satish Salian Slawomir Kierat Szymon Migacz A. Fit-Florea 46 11 0 26 Apr 2022
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 118 280 0 11 Feb 2022
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne E. López G. Simpson 57 6 0 17 Dec 2021
Training BatchNorm Only in Neural Architecture Search and Beyond Yichen Zhu Jie Du Yuqin Zhu Yi Wang Zhicai Ou Feifei Feng Jian Tang 86 1 0 01 Dec 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters Yoichi Hirose Nozomu Yoshinari Shinichi Shirakawa 63 13 0 19 Oct 2021
GradSign: Model Performance Inference with Theoretical Insights Zhihao Zhang Zhihao Jia 82 24 0 16 Oct 2021
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback Junxiong Wang D. Basu Immanuel Trummer 140 3 0 14 Oct 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang Xiangning Chen Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh 117 13 0 18 Aug 2021
Cascade Bagging for Accuracy Prediction with Few Training Samples Ruyi Zhang Ziwei Yang Zhi Yang Xubo Yang Lei Wang Zheyang Li UQCV 71 1 0 12 Aug 2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson P. Chuang Sam Daulton Peng Xia Akshat Shrivastava Arun Babu Shicong Zhao Ahmed Aly Ganesh Venkatesh Maximilian Balandat BDL 87 16 0 22 Jun 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search Kaicheng Yu René Ranftl Mathieu Salzmann OOD 41 18 0 12 Apr 2021
How Powerful are Performance Predictors in Neural Architecture Search? Colin White Arber Zela Binxin Ru Yang Liu Frank Hutter 77 129 0 02 Apr 2021
Stronger NAS with Weaker Predictors Junru Wu Xiyang Dai Dongdong Chen Yinpeng Chen Mengchen Liu Ye Yu Zhangyang Wang Zicheng Liu Mei Chen Lu Yuan OOD 127 44 0 21 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 81 28 0 14 Feb 2021
Playing Carcassonne with Monte Carlo Tree Search Fred Valdez Ameneyro E. López Ángel Fernando Kuri Morales 61 4 0 27 Sep 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 70 2 0 02 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 117 128 0 01 Jul 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 109 39 0 13 Jun 2020
Few-shot Neural Architecture Search Yiyang Zhao Linnan Wang Yuandong Tian Rodrigo Fonseca Tian Guo 104 93 0 11 Jun 2020
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang AI4CE 135 103 0 04 Apr 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS Han Shi Renjie Pi Hang Xu Zhenguo Li James T. Kwok Tong Zhang 97 32 0 21 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 128 329 0 25 Oct 2019
Improving One-shot NAS by Suppressing the Posterior Fading Xiang Li Chen Lin Chuming Li Ming Sun Wei Wu Junjie Yan Wanli Ouyang 72 78 0 06 Oct 2019
Sample-Efficient Neural Architecture Search by Learning Action Space Linnan Wang Saining Xie Teng Li Rodrigo Fonseca Yuandong Tian 64 45 0 17 Jun 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 103 259 0 04 May 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 133 344 0 21 Feb 2019
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero Yuandong Tian Jerry Ma Qucheng Gong Shubho Sengupta Zhuoyuan Chen James Pinkerton C. L. Zitnick 102 110 0 12 Feb 2019