ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.07108
  4. Cited By
CATE: Computation-aware Neural Architecture Encoding with Transformers

CATE: Computation-aware Neural Architecture Encoding with Transformers

14 February 2021
Shen Yan
Kaiqiang Song
Z. Feng
Mi Zhang
ArXivPDFHTML

Papers citing "CATE: Computation-aware Neural Architecture Encoding with Transformers"

50 / 64 papers shown
Title
Pretraining Neural Architecture Search Controllers with Locality-based
  Self-Supervised Learning
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Kwanghee Choi
Minyoung Choe
Hyelee Lee
SSL
AI4CE
35
1
0
15 Mar 2021
Contrastive Embeddings for Neural Architectures
Contrastive Embeddings for Neural Architectures
Daniel Hesslow
Iacopo Poli
50
4
0
08 Feb 2021
Self-supervised Representation Learning for Evolutionary Neural
  Architecture Search
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei
Yiping Tang
Chuang Niu
Haihong Hu
Yue Wang
Jimin Liang
34
21
0
31 Oct 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural
  Architecture Search
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng
Hao Du
Hongyuan Yu
Qi Li
Jing Liao
Jianlong Fu
37
67
0
29 Oct 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
Yikang Zhang
Jian Zhang
Zhaobai Zhong
34
3
0
20 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture
  Search
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Jovita Lukasik
David Friede
Arber Zela
Frank Hutter
Margret Keuper
55
19
0
09 Oct 2020
Can weight sharing outperform random architecture search? An
  investigation with TuNAS
Can weight sharing outperform random architecture search? An investigation with TuNAS
Gabriel Bender
Hanxiao Liu
Bo Chen
Grace Chu
Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
OOD
53
121
0
13 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
66
110
0
04 Aug 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural
  Architecture Search
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Boddeti
56
145
0
20 Jul 2020
Graph Structure of Neural Networks
Graph Structure of Neural Networks
Jiaxuan You
J. Leskovec
Kaiming He
Saining Xie
GNN
53
139
0
13 Jul 2020
A Study on Encodings for Neural Architecture Search
A Study on Encodings for Neural Architecture Search
Colin White
Willie Neiswanger
Sam Nolen
Yash Savani
AI4CE
18
74
0
09 Jul 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
52
101
0
12 Jun 2020
A Semi-Supervised Assessor of Neural Architectures
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang
Yunhe Wang
Yixing Xu
Hanting Chen
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
49
67
0
14 May 2020
Local Search is a Remarkably Strong Baseline for Neural Architecture
  Search
Local Search is a Remarkably Strong Baseline for Neural Architecture Search
T. D. Ottelander
A. Dushatskiy
M. Virgolin
Peter A. N. Bosman
OOD
45
38
0
20 Apr 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
52
100
0
04 Apr 2020
Neural Architecture Generator Optimization
Neural Architecture Generator Optimization
Binxin Ru
P. Esperança
Fabio Maria Carlucci
34
40
0
03 Apr 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
77
1,672
0
30 Mar 2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You
Tao Huang
Mingmin Yang
Fei Wang
Chao Qian
Changshui Zhang
47
143
0
25 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
23
88
0
24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
142
10,591
0
17 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based
  Regularization
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen
Cho-Jui Hsieh
52
203
0
12 Feb 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
118
703
0
02 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
63
196
0
02 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
108
10,720
0
29 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
74
317
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
247
19,824
0
23 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
90
649
0
10 Oct 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
118
369
0
20 Sep 2019
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
Shen Yan
Biyi Fang
Faen Zhang
Yu Zheng
Xiao Zeng
Hui Xu
Mi Zhang
18
22
0
31 Aug 2019
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis
  of Hyperparameters
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Joshua Marben
Philip Muller
Frank Hutter
15
40
0
16 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
368
24,160
0
26 Jul 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural
  Architecture Search
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
49
331
0
03 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
160
8,386
0
19 Jun 2019
Sample-Efficient Neural Architecture Search by Learning Action Space
Sample-Efficient Neural Architecture Search by Learning Action Space
Linnan Wang
Saining Xie
Teng Li
Rodrigo Fonseca
Yuandong Tian
28
45
0
17 Jun 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou
Minghao Yang
Jun Wang
Wei Pan
BDL
41
197
0
13 May 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
134
1,553
0
08 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
53
199
0
24 Apr 2019
Exploring Randomly Wired Neural Networks for Image Recognition
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie
Alexander Kirillov
Ross B. Girshick
Kaiming He
51
365
0
02 Apr 2019
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
Linnan Wang
Yiyang Zhao
Yuu Jinnai
Yuandong Tian
Rodrigo Fonseca
BDL
36
95
0
26 Mar 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
39
678
0
25 Feb 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
51
719
0
20 Feb 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
52
932
0
24 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
57
1,865
0
02 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
853
93,936
0
11 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
134
7,554
0
01 Oct 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
53
651
0
22 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
80
2,995
0
31 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
134
1,077
0
04 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
149
4,326
0
24 Jun 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
88
11,520
0
15 Feb 2018
12
Next