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Graph HyperNetworks for Neural Architecture Search
v1v2v3 (latest)

Graph HyperNetworks for Neural Architecture Search

12 October 2018
Chris Zhang
Mengye Ren
R. Urtasun
    GNN
ArXiv (abs)PDFHTML

Papers citing "Graph HyperNetworks for Neural Architecture Search"

50 / 177 papers shown
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
Yunchuan Guan
Yu Liu
Ke Zhou
Hui Li
Sen Jia
...
Ziyang Wang
X. Zhang
Tao Chen
Jenq-Neng Hwang
Lei Li
124
0
0
01 Nov 2025
Neuron-Level Analysis of Cultural Understanding in Large Language Models
Neuron-Level Analysis of Cultural Understanding in Large Language Models
Taisei Yamamoto
Ryoma Kumon
Danushka Bollegala
Hitomi Yanaka
168
0
0
09 Oct 2025
Learning Model Representations Using Publicly Available Model Hubs
Learning Model Representations Using Publicly Available Model Hubs
Damian Falk
Konstantin Schürholt
Konstantinos Tzevelekakis
Léo Meynent
Damian Borth
3DH
239
0
0
02 Oct 2025
SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression
SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression
Qihu Xie
Yuan Li
Yi Kang
113
0
0
09 Sep 2025
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Zheqi Lv
Wenqiao Zhang
Kairui Fu
Q. Tian
Shengyu Zhang
Jiajie Su
Jingyuan Chen
Kun Kuang
Fei Wu
KELM
124
1
0
08 Sep 2025
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
Li Sun
Jiefeng Wu
Feng Chen
Ruizhe Liu
Yanchao Yang
210
1
0
26 Aug 2025
Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
Dan Wang
Feng Jiang
Z. J. Wang
144
0
0
25 Aug 2025
Personalized Subgraph Federated Learning with Sheaf Collaboration
Personalized Subgraph Federated Learning with Sheaf Collaboration
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
137
0
0
19 Aug 2025
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
L. Eyring
Shyamgopal Karthik
Alexey Dosovitskiy
Nataniel Ruiz
Zeynep Akata
DiffM
194
8
0
13 Aug 2025
An open dataset of neural networks for hypernetwork research
An open dataset of neural networks for hypernetwork research
David Kurtenbach
Lior Shamir
136
0
0
15 Jul 2025
Directed Acyclic Graph Convolutional Networks
Directed Acyclic Graph Convolutional Networks
Samuel Rey
Hamed Ajorlou
Gonzalo Mateos
GNNCMLAI4CE
180
2
0
13 Jun 2025
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
S. Yun
A. Wong
MQ
242
0
0
12 Jun 2025
Generative Modeling of Weights: Generalization or Memorization?
Generative Modeling of Weights: Generalization or Memorization?
Boya Zeng
Yida Yin
Zhiqiu Xu
Zhuang Liu
DiffM
307
4
0
09 Jun 2025
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
A. Zhmoginov
Jihwan Lee
Mark Sandler
192
0
0
06 Jun 2025
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
369
2
0
25 Apr 2025
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Uncertainty quantification of neural network models of evolving processes via Langevin samplingProbabilistic Engineering Mechanics (PEM), 2025
Cosmin Safta
Reese E. Jones
Ravi G. Patel
Raelynn Wonnacot
Dan S. Bolintineanu
Craig M. Hamel
S. Kramer
BDL
414
2
0
21 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning
The Impact of Model Zoo Size and Composition on Weight Space Learning
Damian Falk
Konstantin Schurholt
Damian Borth
395
1
0
14 Apr 2025
Instruction-Guided Autoregressive Neural Network Parameter Generation
Instruction-Guided Autoregressive Neural Network Parameter Generation
Soro Bedionita
Bruno Andreis
Song Chong
Sung Ju Hwang
DiffM
272
1
0
02 Apr 2025
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Léo Meynent
Ivan Melev
Konstantin Schurholt
Göran Kauermann
Damian Borth
369
5
0
21 Mar 2025
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation ModelsInternational Conference on Learning Representations (ICLR), 2025
Jeffrey Gu
Serena Yeung-Levy
AI4CE
218
3
0
02 Mar 2025
Hypencoder: Hypernetworks for Information Retrieval
Hypencoder: Hypernetworks for Information RetrievalAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Julian Killingback
Hansi Zeng
Hamed Zamani
451
6
0
07 Feb 2025
Neural Network Diffusion
Neural Network Diffusion
Kaili Wang
Dongwen Tang
Boya Zeng
Yida Yin
Zhaopan Xu
Yukun Zhou
Zelin Zang
Trevor Darrell
Zhuang Liu
Yang You
DiffM
452
5
0
03 Jan 2025
TART: Token-based Architecture Transformer for Neural Network Performance Prediction
TART: Token-based Architecture Transformer for Neural Network Performance Prediction
Yannis Y. He
269
0
0
02 Jan 2025
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight TrajectoriesComputer Vision and Pattern Recognition (CVPR), 2024
Eric Hedlin
Munawar Hayat
Fatih Porikli
Kwang Moo Yi
Shweta Mahajan
3DH
422
3
0
22 Dec 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal
  Hyperparameter Tuning
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter TuningInternational Conference on Learning Representations (ICLR), 2024
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
276
0
0
08 Oct 2024
Semantic Codebook Learning for Dynamic Recommendation Models
Semantic Codebook Learning for Dynamic Recommendation ModelsACM Multimedia (MM), 2024
Zheqi Lv
Shaoxuan He
Ahmed Salem
Minxing Zhang
Wenqiao Zhang
Jingyuan Chen
Yang Zhang
Fei Wu
299
12
0
31 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N. Lell
A. Scherp
GNN
238
1
0
16 Jul 2024
Towards Scalable and Versatile Weight Space Learning
Towards Scalable and Versatile Weight Space LearningInternational Conference on Machine Learning (ICML), 2024
Konstantin Schurholt
Michael W. Mahoney
Damian Borth
263
29
0
14 Jun 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph
  Modeling
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph ModelingKnowledge Discovery and Data Mining (KDD), 2024
Siwei Zhang
Xi Chen
Yun Xiong
Xixi Wu
Yao Zhang
Yongrui Fu
Yinglong Zhao
Jiawei Zhang
274
14
0
14 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lio
Nicholas D. Lane
238
4
0
31 May 2024
LoGAH: Predicting 774-Million-Parameter Transformers using Graph
  HyperNetworks with 1/100 Parameters
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters
Xinyu Zhou
Boris Knyazev
Alexia Jolicoeur-Martineau
Jie Fu
AI4CE
217
0
0
25 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
303
2
0
25 May 2024
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
238
3
0
21 May 2024
Convolutional Learning on Directed Acyclic Graphs
Convolutional Learning on Directed Acyclic GraphsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Samuel Rey
Hamed Ajorlou
Gonzalo Mateos
CMLAI4CEGNN
196
7
0
05 May 2024
Functional Bilevel Optimization for Machine Learning
Functional Bilevel Optimization for Machine Learning
Ieva Petrulionyte
Julien Mairal
Michael Arbel
419
18
0
29 Mar 2024
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal
  Large Language Models
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Wenqiao Zhang
Tianwei Lin
Jiang Liu
Fangxun Shu
Haoyuan Li
...
Zheqi Lv
Hao Jiang
Juncheng Li
Siliang Tang
Yueting Zhuang
VLMMLLM
236
16
0
20 Mar 2024
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion
  Models
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
Feihong He
Gang Li
Mengyuan Zhang
Leilei Yan
Hui Xiong
Fanzhang Li
Li Shen
DiffM
333
26
0
28 Jan 2024
Principled Weight Initialization for Hypernetworks
Principled Weight Initialization for HypernetworksInternational Conference on Learning Representations (ICLR), 2020
Oscar Chang
Lampros Flokas
Hod Lipson
236
82
0
13 Dec 2023
Generating Interpretable Networks using Hypernetworks
Generating Interpretable Networks using Hypernetworks
Isaac Liao
Ziming Liu
Max Tegmark
240
2
0
05 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
274
0
0
25 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
Learning to Generate Parameters of ConvNets for Unseen Image DataIEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
303
1
0
18 Oct 2023
HyperPPO: A scalable method for finding small policies for robotic
  control
HyperPPO: A scalable method for finding small policies for robotic controlIEEE International Conference on Robotics and Automation (ICRA), 2023
Luming Tang
Zhehui Huang
Gaurav Sukhatme
230
7
0
28 Sep 2023
Deep Model Fusion: A Survey
Deep Model Fusion: A Survey
Weishi Li
Yong Peng
Miao Zhang
Liang Ding
Han Hu
Li Shen
FedMLMoMe
299
87
0
27 Sep 2023
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust
  Parameters of Unseen Limited Precision Neural Networks
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks
S. Yun
Alexander Wong
MQ
152
0
0
24 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime
  Inference
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime InferenceIEEE International Conference on Robotics and Automation (ICRA), 2023
S. Banerjee
Vinay Kumar Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
259
5
0
15 Sep 2023
FedFNN: Faster Training Convergence Through Update Predictions in
  Federated Recommender Systems
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems
Francesco Fabbri
Xianghang Liu
Jack R. McKenzie
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
171
0
0
14 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
303
32
0
27 Aug 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA
  Composition
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang
Qian Liu
Bill Yuchen Lin
Tianyu Pang
Chao Du
Min Lin
MoMe
467
291
0
25 Jul 2023
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
Fast Unsupervised Deep Outlier Model Selection with HypernetworksKnowledge Discovery and Data Mining (KDD), 2023
Xueying Ding
Yue Zhao
Leman Akoglu
OODD
229
7
0
20 Jul 2023
Zero-Shot Neural Architecture Search: Challenges, Solutions, and
  Opportunities
Zero-Shot Neural Architecture Search: Challenges, Solutions, and OpportunitiesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Guihong Li
Duc-Tuong Hoang
Kartikeya Bhardwaj
Ming Lin
Zinan Lin
R. Marculescu
393
40
0
05 Jul 2023
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