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. 2107.00860
  4. Cited By
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

2 July 2021
Hayeon Lee
Eunyoung Hyung
S. Hwang
ArXivPDFHTML

Papers citing "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets"

35 / 35 papers shown
Title
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Bingye Zhou
Caiyang Yu
DiffM
51
0
0
24 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
127
5
0
21 Feb 2025
Knowledge-aware Evolutionary Graph Neural Architecture Search
Knowledge-aware Evolutionary Graph Neural Architecture Search
Chao Wang
Jiaxuan Zhao
Lingling Li
Licheng Jiao
Fang Liu
Xu Liu
S. M. I. Simon X. Yang
77
2
0
26 Nov 2024
Fully Automated Correlated Time Series Forecasting in Minutes
Fully Automated Correlated Time Series Forecasting in Minutes
Xinle Wu
Xingjian Wu
Dalin Zhang
Miao Zhang
Chenjuan Guo
Bin Yang
Christian S. Jensen
AI4TS
29
4
0
06 Nov 2024
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator
Eugenio Lomurno
Samuele Mariani
Matteo Monti
Matteo Matteucci
DiffM
26
2
0
30 Sep 2024
Design Principle Transfer in Neural Architecture Search via Large
  Language Models
Design Principle Transfer in Neural Architecture Search via Large Language Models
Xun Zhou
Liang Feng
Xingyu Wu
Zhichao Lu
Kay Chen Tan
32
3
0
21 Aug 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
26
0
0
26 Jul 2024
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search
  under Distribution Shifts
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts
S. Casarin
O. Lanz
Sergio Escalera
GNN
OOD
16
0
0
11 May 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNN
AI4CE
31
5
0
09 Mar 2024
On Latency Predictors for Neural Architecture Search
On Latency Predictors for Neural Architecture Search
Yash Akhauri
Mohamed S. Abdelfattah
OOD
22
2
0
04 Mar 2024
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
37
1
0
28 Feb 2024
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS
  Predictor
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
H. Loya
L. Dudziak
Abhinav Mehrotra
Royson Lee
Javier Fernandez-Marques
Nicholas D. Lane
Hongkai Wen
OOD
17
0
0
30 Nov 2023
Robust Principles: Architectural Design Principles for Adversarially
  Robust CNNs
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Sheng-Hsuan Peng
Weilin Xu
Cory Cornelius
Matthew Hull
Kevin Li
Rahul Duggal
Mansi Phute
Jason Martin
Duen Horng Chau
AAML
13
46
0
30 Aug 2023
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
33
1
0
12 Jun 2023
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Hayeon Lee
Sohyun An
Minseon Kim
Sung Ju Hwang
OOD
13
5
0
26 May 2023
DiffusionNAG: Predictor-guided Neural Architecture Generation with
  Diffusion Models
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
Sohyun An
Hayeon Lee
Jaehyeong Jo
Seanie Lee
Sung Ju Hwang
DiffM
21
10
0
26 May 2023
GP-NAS-ensemble: a model for NAS Performance Prediction
GP-NAS-ensemble: a model for NAS Performance Prediction
Kunlong Chen
Liu Yang
Yitian Chen
Kunjin Chen
Yidan Xu
Lujun Li
17
13
0
23 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DV
AI4CE
32
128
0
20 Jan 2023
Fast Graph Generation via Spectral Diffusion
Fast Graph Generation via Spectral Diffusion
Tianze Luo
Zhanfeng Mo
Sinno Jialin Pan
DiffM
13
22
0
16 Nov 2022
Efficient Automatic Machine Learning via Design Graphs
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
17
1
0
21 Oct 2022
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
20
7
0
04 Sep 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Daiki Chijiwa
Shinýa Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
16
8
0
31 May 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
28
18
0
12 Apr 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan
Binxin Ru
Pedro M. Esperancca
Zhenguo Li
25
20
0
16 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks?
What Matters For Meta-Learning Vision Regression Tasks?
Ni Gao
Hanna Ziesche
Ngo Anh Vien
Michael Volpp
Gerhard Neumann
VLM
14
29
0
09 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
22
210
0
05 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of
  Classification Tasks
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu
M. M. Fard
Sen Zhao
OOD
23
3
0
04 Feb 2022
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
32
30
0
20 Oct 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
S. Hwang
13
26
0
16 Jun 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong
Hayeon Lee
G. Park
Eunyoung Hyung
Jinheon Baek
Sung Ju Hwang
14
9
0
02 Mar 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman
Y. Aflalo
Asaf Noy
Lihi Zelnik-Manor
11
31
0
23 Feb 2021
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
202
629
0
17 Oct 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
221
1,337
0
12 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1