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POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator

POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator

30 September 2024
Eugenio Lomurno
Samuele Mariani
Matteo Monti
Matteo Matteucci
    DiffM
ArXivPDFHTML

Papers citing "POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator"

24 / 24 papers shown
Title
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in
  Multi-Objective Neural Architecture Search
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search
Simone Sarti
Eugenio Lomurno
Matteo Matteucci
39
1
0
03 Jul 2023
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
63
224
0
05 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
388
15,454
0
20 Dec 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
68
43
0
02 Jul 2021
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
132
710
0
02 Jan 2020
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
95
320
0
25 Oct 2019
One-Shot Neural Architecture Search via Self-Evaluated Template Network
One-Shot Neural Architecture Search via Self-Evaluated Template Network
Xuanyi Dong
Yezhou Yang
ViT
48
185
0
13 Oct 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
102
1,279
0
26 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
655
5,786
0
25 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
74
608
0
12 Jul 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
340
6,772
0
06 May 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
73
724
0
20 Feb 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
80
935
0
24 Dec 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
74
654
0
22 Aug 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
199
1,096
0
04 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
187
4,350
0
24 Jun 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
107
2,762
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
150
3,026
0
05 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
173
19,262
0
13 Jan 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
152
646
0
27 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
172
5,596
0
21 Jul 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
447
5,369
0
05 Nov 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
219
2,325
0
21 Mar 2016
Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
146
1,619
0
21 Dec 2009
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