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

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

26 March 2019
Linnan Wang
Yiyang Zhao
Yuu Jinnai
Yuandong Tian
Rodrigo Fonseca
    BDL
ArXivPDFHTML

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

19 / 19 papers shown
Title
Towards Understanding the Effects of Evolving the MCTS UCT Selection
  Policy
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Fred Valdez Ameneyro
E. López
13
2
0
07 Feb 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
32
12
0
14 Jan 2023
NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
Yun Yi
Haokui Zhang
Wenze Hu
Nannan Wang
Xiaoyu Wang
AI4TS
AI4CE
32
8
0
15 Nov 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
22
2
0
03 Jul 2022
Compute Trends Across Three Eras of Machine Learning
Compute Trends Across Three Eras of Machine Learning
J. Sevilla
Lennart Heim
A. Ho
T. Besiroglu
Marius Hobbhahn
Pablo Villalobos
27
269
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
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
19
6
0
17 Dec 2021
Part-X: A Family of Stochastic Algorithms for Search-Based Test
  Generation with Probabilistic Guarantees
Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees
Giulia Pedrielli
Tanmay Kandhait
Surdeep Chotaliya
Quinn Thibeault
Hao Huang
M. Castillo-Effen
Georgios Fainekos
14
19
0
20 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of
  Convolutional Neural Network Architecture and Training Hyperparameters
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Yoichi Hirose
Nozomu Yoshinari
Shinichi Shirakawa
16
13
0
19 Oct 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform
  Successive Halving
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
Ruochen Wang
Xiangning Chen
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
33
13
0
18 Aug 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan
Kaiqiang Song
Z. Feng
Mi Zhang
22
24
0
14 Feb 2021
Playing Carcassonne with Monte Carlo Tree Search
Playing Carcassonne with Monte Carlo Tree Search
Fred Valdez Ameneyro
E. López
Ángel Fernando Kuri Morales
12
4
0
27 Sep 2020
Learning Search Space Partition for Black-box Optimization using Monte
  Carlo Tree Search
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang
Rodrigo Fonseca
Yuandong Tian
35
126
0
01 Jul 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
23
90
0
11 Jun 2020
A Generic Graph-based Neural Architecture Encoding Scheme for
  Predictor-based NAS
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
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
W. Neiswanger
Yash Savani
BDL
42
313
0
25 Oct 2019
Evaluating the Search Phase of Neural Architecture Search
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
9
342
0
21 Feb 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood
Benjamin Elder
Benjamin Herta
Chao Xue
C. Bekas
...
M. Choudhury
Rong Yan
R. Istrate
Ruchi Puri
Tejaswini Pedapati
SyDa
35
7
0
17 Jan 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
Convolution by Evolution: Differentiable Pattern Producing Networks
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha Fernando
Dylan Banarse
Malcolm Reynolds
F. Besse
David Pfau
Max Jaderberg
Marc Lanctot
Daan Wierstra
191
102
0
08 Jun 2016
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