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1810.05749
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Graph HyperNetworks for Neural Architecture Search
12 October 2018
Chris Zhang
Mengye Ren
R. Urtasun
GNN
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Papers citing
"Graph HyperNetworks for Neural Architecture Search"
50 / 177 papers shown
Partial Hypernetworks for Continual Learning
Hamed Hemati
Vincenzo Lomonaco
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Damian Borth
CLL
265
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19 Jun 2023
A Brief Review of Hypernetworks in Deep Learning
Artificial Intelligence Review (AIR), 2023
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
511
147
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12 Jun 2023
ATT3D: Amortized Text-to-3D Object Synthesis
IEEE International Conference on Computer Vision (ICCV), 2023
Jonathan Lorraine
Kevin Xie
Fangyin Wei
Chen-Hsuan Lin
Towaki Takikawa
Nicholas Sharp
Nayeon Lee
Xuan Li
Sanja Fidler
James Lucas
DiffM
314
100
0
06 Jun 2023
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
Jun Fu
SupR
151
3
0
04 Jun 2023
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Shashank Hegde
Sumeet Batra
K.R. Zentner
Gaurav Sukhatme
303
21
0
30 May 2023
Focus Your Attention (with Adaptive IIR Filters)
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shahar Lutati
Itamar Zimerman
Lior Wolf
321
11
0
24 May 2023
NeFT: Negative Feedback Training to Improve Robustness of Compute-In-Memory DNN Accelerators
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023
Yifan Qin
Zheyu Yan
Dailin Gan
Jun Xia
Yiyu Shi
Wujie Wen
X. Hu
Y. Shi
161
7
0
23 May 2023
Neural Functional Transformers
Neural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Yiding Jiang
Kaylee Burns
Winnie Xu
Samuel Sokota
J. Zico Kolter
Chelsea Finn
252
43
0
22 May 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging
Jose Javier Gonzalez Ortiz
John Guttag
Adrian Dalca
234
0
0
11 Apr 2023
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation
Qi Wu
David Bauer
Yuyang Chen
Kwan-Liu Ma
213
21
0
09 Apr 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
International Conference on Machine Learning (ICML), 2023
Boris Knyazev
Doha Hwang
Damien Scieur
AI4CE
183
28
0
07 Mar 2023
Permutation Equivariant Neural Functionals
Neural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Kaylee Burns
Adriano Cardace
Yiding Jiang
Samuel Sokota
J. Zico Kolter
Chelsea Finn
300
65
0
27 Feb 2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Guangliang Cheng
Peng Sun
Ting-Bing Xu
Shuchang Lyu
Peiwen Lin
243
2
0
16 Feb 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
International Conference on Learning Representations (ICLR), 2023
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
496
83
0
26 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Katharina Eggensperger
3DV
AI4CE
409
192
0
20 Jan 2023
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks
Maciej A. Czyzewski
Daniel Nowak
Kamila Piechowiak
155
4
0
28 Dec 2022
NeRN -- Learning Neural Representations for Neural Networks
Maor Ashkenazi
Zohar Rimon
Ron Vainshtein
Shir Levi
Elad Richardson
Pinchas Mintz
Eran Treister
3DH
271
15
0
27 Dec 2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models
Muchen Li
Jeffrey Liu
Leonid Sigal
Renjie Liao
GNN
130
6
0
28 Nov 2022
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Jaehoon Lee
C. Kim
Gyumin Lee
Haksoo Lim
Jeongwhan Choi
Kookjin Lee
Dongeun Lee
Sanghyun Hong
Noseong Park
OOD
AI4TS
163
4
0
22 Nov 2022
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Neural Information Processing Systems (NeurIPS), 2022
Simon Schrodi
Daniel Stoll
Binxin Ru
R. Sukthanker
Thomas Brox
Katharina Eggensperger
298
9
0
03 Nov 2022
Transformers over Directed Acyclic Graphs
Neural Information Processing Systems (NeurIPS), 2022
Yu Luo
Veronika Thost
Lei Shi
GNN
AI4CE
539
29
0
24 Oct 2022
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
398
19
0
24 Oct 2022
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
206
1
0
21 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
International Conference on Machine Learning (ICML), 2022
Shahar Lutati
Lior Wolf
DiffM
347
10
0
02 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Shashank Hegde
Gaurav Sukhatme
240
3
0
30 Sep 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Neural Information Processing Systems (NeurIPS), 2022
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
309
35
0
29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Neural Information Processing Systems (NeurIPS), 2022
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
304
53
0
29 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
The Web Conference (WWW), 2022
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Ruihao Zhang
Tao Shen
Hongxia Yang
Bengchin Ooi
Leilei Gan
303
62
0
12 Sep 2022
Towards Confidence-guided Shape Completion for Robotic Applications
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Andrea Rosasco
Stefano Berti
Fabrizio Bottarel
Michele Colledanchise
Lorenzo Natale
3DV
184
5
0
09 Sep 2022
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks
S. Yun
Alexander Wong
GNN
MQ
72
1
0
26 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
155
30
0
11 Aug 2022
Neural Message Passing for Visual Relationship Detection
Yue Hu
Siheng Chen
Xu Chen
Ya Zhang
Xiao Gu
191
18
0
08 Aug 2022
Hyper-Representations for Pre-Training and Transfer Learning
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
155
12
0
22 Jul 2022
Pretraining a Neural Network before Knowing Its Architecture
Boris Knyazev
AI4CE
179
1
0
20 Jul 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
260
244
0
09 May 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Neural Information Processing Systems (NeurIPS), 2022
Chengrun Yang
Gabriel Bender
Hanxiao Liu
Pieter-Jan Kindermans
Madeleine Udell
Yifeng Lu
Quoc V. Le
Da Huang
LMTD
237
8
0
15 Apr 2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho
Kashu Yamazaki
Hieu T. Hoang
Minh-Triet Tran
Ngan Le
177
5
0
16 Mar 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork
Machine Learning for Biomedical Imaging (MLBI), 2022
Alan Q. Wang
Adrian Dalca
M. Sabuncu
445
10
0
22 Feb 2022
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
International Conference on Parallel and Distributed Systems (ICPADS), 2022
Wenying Duan
Xiaoxi He
Lu Zhou
Lothar Thiele
Hong Rao
TTA
AI4TS
199
17
0
22 Feb 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
809
76
0
01 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Mathematical Finance (Math. Finance), 2022
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
421
28
0
31 Jan 2022
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search
ACM Multimedia (ACM MM), 2022
Bicheng Guo
Tao Chen
Shibo He
Haoyu Liu
Lili Xu
Peng Ye
Jiming Chen
246
21
0
30 Jan 2022
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving
Geunseob Oh
H. Peng
130
17
0
24 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
205
30
0
20 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
313
2
0
04 Jan 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
Computer Vision and Pattern Recognition (CVPR), 2021
Cheng-Fang Peng
Andriy Myronenko
Ali Hatamizadeh
V. Nath
M. R. Siddiquee
Yufan He
Daguang Xu
Ramalingam Chellappa
Dong Yang
SSeg
247
25
0
20 Dec 2021
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 Dalca
Polina Golland
N. Rost
UQCV
195
8
0
13 Dec 2021
Transferring Unconditional to Conditional GANs with Hyper-Modulation
Héctor Laria
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
GAN
239
5
0
04 Dec 2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
Tan M. Dinh
Anh Tran
Rang Nguyen
Binh-Son Hua
299
124
0
01 Dec 2021
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf
Omer Tov
Ron Mokady
Rinon Gal
Amit H. Bermano
398
312
0
30 Nov 2021
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