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BayesNAS: A Bayesian Approach for Neural Architecture Search

BayesNAS: A Bayesian Approach for Neural Architecture Search

13 May 2019
Hongpeng Zhou
Minghao Yang
Jun Wang
Wei Pan
    BDL
ArXivPDFHTML

Papers citing "BayesNAS: A Bayesian Approach for Neural Architecture Search"

44 / 44 papers shown
Title
AgentSquare: Automatic LLM Agent Search in Modular Design Space
AgentSquare: Automatic LLM Agent Search in Modular Design Space
Yu Shang
Yu Li
Keyu Zhao
Likai Ma
Jiaheng Liu
Fengli Xu
Yong Li
LLMAG
50
9
0
08 Oct 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph
  Convolution Networks for Efficient Neural Architecture Search
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search
Ye Qiao
Haocheng Xu
Sitao Huang
26
0
0
30 Mar 2024
FTSO: Effective NAS via First Topology Second Operator
FTSO: Effective NAS via First Topology Second Operator
Likang Wang
Lei Chen
22
9
0
28 Feb 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
36
60
0
26 Jan 2023
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
74
4
0
11 Nov 2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot
  NAS
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
28
12
0
16 Jul 2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Towards Self-supervised and Weight-preserving Neural Architecture Search
Zhuowei Li
Yibo Gao
Zhenzhou Zha
Hu Zhiqiang
Qing Xia
Shaoting Zhang
Dimitris N. Metaxas
24
4
0
08 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
30
41
0
03 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
24
118
0
29 May 2022
Automating Neural Architecture Design without Search
Automating Neural Architecture Design without Search
Zixuan Liang
Yanan Sun
3DV
23
0
0
21 Apr 2022
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping
  Reinforcement
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
M. Das
Brijraj Singh
Harsh Chheda
Pawan Sharma
NS Pradeep
33
0
0
29 Mar 2022
Generalizing Few-Shot NAS with Gradient Matching
Generalizing Few-Shot NAS with Gradient Matching
Shou-Yong Hu
Ruochen Wang
Lanqing Hong
Zhenguo Li
Cho-Jui Hsieh
Jiashi Feng
25
23
0
29 Mar 2022
Automated Learning for Deformable Medical Image Registration by Jointly
  Optimizing Network Architectures and Objective Functions
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions
Xin-Yue Fan
Zi Li
Ziyang Li
Xiaolin Wang
Risheng Liu
Zhongxuan Luo
Hao Huang
21
11
0
14 Mar 2022
Transformers Can Do Bayesian Inference
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDL
UQCV
22
140
0
20 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Learning from Mistakes based on Class Weighting with Application to
  Neural Architecture Search
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
Jay P. Gala
P. Xie
29
1
0
01 Dec 2021
NAS-FCOS: Efficient Search for Object Detection Architectures
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
59
19
0
24 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for
  Classification
Observations on K-image Expansion of Image-Mixing Augmentation for Classification
Joonhyun Jeong
Sungmin Cha
Jongwon Choi
Sangdoo Yun
Taesup Moon
Y. Yoo
VLM
13
6
0
08 Oct 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy,
  Hyper-parameter and Architecture
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
56
10
0
13 Sep 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation
  Discretization
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Huiqun Wang
Ruijie Yang
Di Huang
Yunhong Wang
16
27
0
25 Aug 2021
Rethinking Architecture Selection in Differentiable NAS
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang
Minhao Cheng
Xiangning Chen
Xiaocheng Tang
Cho-Jui Hsieh
24
172
0
10 Aug 2021
Sparse Bayesian Deep Learning for Dynamic System Identification
Sparse Bayesian Deep Learning for Dynamic System Identification
Hongpeng Zhou
Chahine Ibrahim
W. Zheng
Wei Pan
BDL
23
25
0
27 Jul 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
Learning by Passing Tests, with Application to Neural Architecture
  Search
Learning by Passing Tests, with Application to Neural Architecture Search
Xuefeng Du
Haochen Zhang
P. Xie
18
4
0
30 Nov 2020
Inter-layer Transition in Neural Architecture Search
Inter-layer Transition in Neural Architecture Search
Benteng Ma
Jing Zhang
Yong-quan Xia
Dacheng Tao
34
4
0
30 Nov 2020
G-DARTS-A: Groups of Channel Parallel Sampling with Attention
G-DARTS-A: Groups of Channel Parallel Sampling with Attention
Zhaowen Wang
Wei Zhang
Zhiming Wang
19
3
0
16 Oct 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Yuexiang Xie
Zhen Wang
Yaliang Li
Bolin Ding
Nezihe Merve Gürel
Ce Zhang
Minlie Huang
Wei Lin
Jingren Zhou
49
28
0
29 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 Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
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
48
653
0
01 Jun 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
24
34
0
09 Mar 2020
Semi-Supervised Neural Architecture Search
Semi-Supervised Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Enhong Chen
Tie-Yan Liu
13
88
0
24 Feb 2020
Latency-Aware Differentiable Neural Architecture Search
Latency-Aware Differentiable Neural Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Bowen Shi
Qi Tian
H. Xiong
OOD
35
33
0
17 Jan 2020
Neural Predictor for Neural Architecture Search
Neural Predictor for Neural Architecture Search
W. Wen
Hanxiao Liu
H. Li
Yiran Chen
Gabriel Bender
Pieter-Jan Kindermans
37
194
0
02 Dec 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
17
34
0
24 Nov 2019
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
Balanced One-shot Neural Architecture Optimization
Balanced One-shot Neural Architecture Optimization
Renqian Luo
Tao Qin
Enhong Chen
BDL
22
14
0
24 Sep 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
Efficient Novelty-Driven Neural Architecture Search
Efficient Novelty-Driven Neural Architecture Search
Miao Zhang
Huiqi Li
Shirui Pan
Taoping Liu
Steven W. Su
23
1
0
22 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
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
24
603
0
12 Jul 2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
23
192
0
11 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas J. Guibas
Jitendra Malik
Silvio Savarese
15
502
0
18 May 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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