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Neural Architecture Optimization

Neural Architecture Optimization

22 August 2018
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
    3DV
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Papers citing "Neural Architecture Optimization"

50 / 139 papers shown
Title
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
S. Casarin
Sergio Escalera
Oswald Lanz
34
0
0
12 May 2025
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
56
0
0
30 Apr 2025
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
Xuan Rao
Bo Zhao
Derong Liu
Cesare Alippi
44
0
0
25 Apr 2025
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
Tianyi Chen
Xiaoyi Qu
David Aponte
Colby R. Banbury
Jongwoo Ko
Tianyu Ding
Yong Ma
Vladimir Lyapunov
Ilya Zharkov
Luming Liang
83
1
0
11 Sep 2024
Robust and Efficient Transfer Learning via Supernet Transfer in
  Warm-started Neural Architecture Search
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search
Prabhant Singh
Joaquin Vanschoren
AAML
OOD
47
0
0
26 Jul 2024
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural
  Architecture Search
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
Haoming Zhang
Ran Cheng
AI4CE
GNN
37
0
0
24 Apr 2024
Robustifying and Boosting Training-Free Neural Architecture Search
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He
Yao Shu
Zhongxiang Dai
K. H. Low
43
1
0
12 Mar 2024
MvFS: Multi-view Feature Selection for Recommender System
MvFS: Multi-view Feature Selection for Recommender System
Youngjune Lee
Yeongjong Jeong
Keunchan Park
SeongKu Kang
33
12
0
05 Sep 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
ColdNAS: Search to Modulate for User Cold-Start Recommendation
Shiguang Wu
Yaqing Wang
Qinghe Jing
Daxiang Dong
Dejing Dou
Quanming Yao
25
7
0
06 Jun 2023
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in
  Histopathology
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology
Pooria Mazaheri
Azam Asilian Bidgoli
Shahryar Rahnamayan
H. R. Tizhoosh
OOD
32
6
0
15 Apr 2023
Full Stack Optimization of Transformer Inference: a Survey
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim
Coleman Hooper
Thanakul Wattanawong
Minwoo Kang
Ruohan Yan
...
Qijing Huang
Kurt Keutzer
Michael W. Mahoney
Y. Shao
A. Gholami
MQ
36
101
0
27 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With
  Distillation-Based Neural Architecture Search and Knowledge Transfer
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu
T. Yamasaki
Yu Wang
K. Mase
Jien Kato
28
27
0
09 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
61
0
26 Jan 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
36
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
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
PredNAS: A Universal and Sample Efficient Neural Architecture Search
  Framework
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
Liuchun Yuan
Zehao Huang
Naiyan Wang
29
0
0
26 Oct 2022
Deep Model Reassembly
Deep Model Reassembly
Xingyi Yang
Zhou Daquan
Songhua Liu
Jingwen Ye
Xinchao Wang
MoMe
20
120
0
24 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Thomas C. P. Chau
L. Dudziak
Hongkai Wen
Nicholas D. Lane
Mohamed S. Abdelfattah
30
13
0
13 Oct 2022
GULP: a prediction-based metric between representations
GULP: a prediction-based metric between representations
Enric Boix Adserà
Hannah Lawrence
George Stepaniants
Philippe Rigollet
46
11
0
12 Oct 2022
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight
  Neural Architecture by Prior Knowledge
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
Yumeng Zhang
J. Hsieh
Chun-Chieh Lee
Kuo-Chin Fan
36
0
0
02 Oct 2022
Tiered Pruning for Efficient Differentialble Inference-Aware Neural
  Architecture Search
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search
Slawomir Kierat
Mateusz Sieniawski
Denys Fridman
Chendi Yu
Szymon Migacz
Pawel M. Morkisz
A. Fit-Florea
3DPC
24
0
0
23 Sep 2022
Variational Inference for Infinitely Deep Neural Networks
Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret
David M. Blei
BDL
25
11
0
21 Sep 2022
Designing with Non-Finite Output Dimension via Fourier Coefficients of
  Neural Waveforms
Designing with Non-Finite Output Dimension via Fourier Coefficients of Neural Waveforms
Jonathan S. Kent
25
0
0
17 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
25
11
0
11 Aug 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust
  Deep Neural Architectures
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures
Jia-Wei Liu
Ran Cheng
Yaochu Jin
AAML
27
7
0
12 Jul 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
25
2
0
03 Jul 2022
FedorAS: Federated Architecture Search under system heterogeneity
FedorAS: Federated Architecture Search under system heterogeneity
L. Dudziak
Stefanos Laskaridis
Javier Fernandez-Marques
FedML
39
7
0
22 Jun 2022
Slimmable Domain Adaptation
Slimmable Domain Adaptation
Rang Meng
Weijie Chen
Shicai Yang
Mingli Song
Luojun Lin
Di Xie
Shiliang Pu
Xinchao Wang
Mingli Song
Yueting Zhuang
29
12
0
14 Jun 2022
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
Zhaofan Qiu
Ting Yao
Chong-Wah Ngo
Tao Mei
ViT
37
15
0
13 Jun 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
27
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
38
41
0
03 Jun 2022
Automating Neural Architecture Design without Search
Automating Neural Architecture Design without Search
Zixuan Liang
Yanan Sun
3DV
23
0
0
21 Apr 2022
Arch-Graph: Acyclic Architecture Relation Predictor for
  Task-Transferable Neural Architecture Search
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
36
18
0
12 Apr 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
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Jovita Lukasik
Steffen Jung
M. Keuper
29
15
0
16 Mar 2022
Fast Neural Architecture Search for Lightweight Dense Prediction
  Networks
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh
Esa Rahtu
Juan E. Sala Matas
J. Heikkilä
20
2
0
03 Mar 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
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
29
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
37
1
0
01 Dec 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian
  Optimization with Zero-cost Proxies
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
42
30
0
20 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical
  Improvements
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
46
7
0
16 Oct 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
42
6
0
04 Oct 2021
NASI: Label- and Data-agnostic Neural Architecture Search at
  Initialization
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Yao Shu
Shaofeng Cai
Zhongxiang Dai
Beng Chin Ooi
K. H. Low
22
43
0
02 Sep 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 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
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
41
13
0
18 Aug 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity
  Evaluation
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
Rethinking Architecture Selection in Differentiable NAS
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang
Minhao Cheng
Xiangning Chen
Xiaocheng Tang
Cho-Jui Hsieh
30
172
0
10 Aug 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
40
43
0
02 Jul 2021
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