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Graph HyperNetworks for Neural Architecture Search

Graph HyperNetworks for Neural Architecture Search

12 October 2018
Chris Zhang
Mengye Ren
R. Urtasun
    GNN
ArXivPDFHTML

Papers citing "Graph HyperNetworks for Neural Architecture Search"

42 / 42 papers shown
Title
A Model Zoo on Phase Transitions in Neural Networks
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schurholt
Léo Meynent
Yefan Zhou
Haiquan Lu
Yaoqing Yang
Damian Borth
65
0
0
25 Apr 2025
Hypencoder: Hypernetworks for Information Retrieval
Hypencoder: Hypernetworks for Information Retrieval
Julian Killingback
Hansi Zeng
Hamed Zamani
101
1
0
07 Feb 2025
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 2024
Principled Weight Initialization for Hypernetworks
Principled Weight Initialization for Hypernetworks
Oscar Chang
Lampros Flokas
Hod Lipson
17
73
0
13 Dec 2023
From Pointwise to Powerhouse: Initialising Neural Networks with
  Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
25
0
0
25 Oct 2023
Focus Your Attention (with Adaptive IIR Filters)
Focus Your Attention (with Adaptive IIR Filters)
Shahar Lutati
Itamar Zimerman
Lior Wolf
32
9
0
24 May 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet
  Models?
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
Boris Knyazev
Doha Hwang
Simon Lacoste-Julien
AI4CE
24
17
0
07 Mar 2023
Local-to-Global Information Communication for Real-Time Semantic
  Segmentation Network Search
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Guangliang Cheng
Peng Sun
Ting-Bing Xu
Shuchang Lyu
Peiwen Lin
18
1
0
16 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
28
60
0
26 Jan 2023
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
28
14
0
24 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati
Lior Wolf
DiffM
20
8
0
02 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde
Gaurav Sukhatme
16
3
0
30 Sep 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie M. Zhang
Song Guo
Wenchao Xu
FedML
16
170
0
09 May 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork
Computing Multiple Image Reconstructions with a Single Hypernetwork
Alan Q. Wang
Adrian V. Dalca
M. Sabuncu
38
8
0
22 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
39
20
0
31 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
28
24
0
20 Jan 2022
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image
  Segmentation with Ambiguous Labels
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Sun-Beom Hong
A. Bonkhoff
Andrew Hoopes
Martin Bretzner
M. Schirmer
A. Giese
Adrian V. Dalca
Polina Golland
N. Rost
UQCV
19
7
0
13 Dec 2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
Tan M. Dinh
Anh Tran
Rang Nguyen
Binh-Son Hua
28
116
0
01 Dec 2021
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf
Omer Tov
Ron Mokady
Rinon Gal
Amit H. Bermano
30
265
0
30 Nov 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
38
7
0
16 Oct 2021
Meta Internal Learning
Meta Internal Learning
Raphael Bensadoun
Shir Gur
Tomer Galanti
Lior Wolf
GAN
19
8
0
06 Oct 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
27
23
0
17 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with
  Curriculum Search
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo
Yaofo Chen
Yin Zheng
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
13
66
0
07 Jul 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
31
653
0
01 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
23
27
0
22 May 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
27
98
0
04 Apr 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
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
19
44
0
17 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
27
695
0
02 Jan 2020
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
9
34
0
24 Nov 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yu Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
11
367
0
28 Oct 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
23
313
0
25 Oct 2019
Efficient Decoupled Neural Architecture Search by Structure and
  Operation Sampling
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling
Heung-Chang Lee
Do-Guk Kim
Bohyung Han
20
6
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
6
646
0
10 Oct 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
17
1,418
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
15
1
0
22 Jul 2019
A Review of Modularization Techniques in Artificial Neural Networks
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer
Tomás Maul
18
80
0
29 Apr 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
10
716
0
20 Feb 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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