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Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution

Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution

24 April 2018
T. Elsken
J. H. Metzen
Frank Hutter
ArXivPDFHTML

Papers citing "Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution"

50 / 248 papers shown
Title
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello
Antonio Purificato
Vittoria Vineis
Gabriele Tolomei
Fabrizio Silvestri
34
0
0
02 May 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML
Hyperparameter Importance Analysis for Multi-Objective AutoML
Daphne Theodorakopoulos
Frederic Stahl
Marius Lindauer
79
2
0
03 Jan 2025
Task Adaptation of Reinforcement Learning-based NAS Agents through
  Transfer Learning
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning
Amber Cassimon
Siegfried Mercelis
Kevin Mets
67
1
0
02 Dec 2024
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton
Aram Galstyan
Greg Ver Steeg
19
0
0
07 Nov 2024
Designing a Classifier for Active Fire Detection from Multispectral
  Satellite Imagery Using Neural Architecture Search
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search
Amber Cassimon
Phil Reiter
Siegfried Mercelis
Kevin Mets
25
0
0
07 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search
Scalable Reinforcement Learning-based Neural Architecture Search
Amber Cassimon
Siegfried Mercelis
Kevin Mets
42
2
0
02 Oct 2024
Memory-Optimized Once-For-All Network
Memory-Optimized Once-For-All Network
Maxime Girard
Victor Quétu
Samuel Tardieu
Van-Tam Nguyen
Enzo Tartaglione
27
0
0
05 Sep 2024
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous
  Devices for Single- and Multi-DNN Workloads
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
Ioannis Panopoulos
Stylianos I. Venieris
I. Venieris
29
2
0
02 Sep 2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu
Farnaz Moradi
Masoumeh Ebrahimi
Andreas Johnsson
AI4CE
23
1
0
04 Jun 2024
Evolutionary Computation for the Design and Enrichment of
  General-Purpose Artificial Intelligence Systems: Survey and Prospects
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Javier Poyatos
Javier Del Ser
Salvador Garcia
H. Ishibuchi
Daniel Molina
I. Triguero
Bing Xue
Xin Yao
Francisco Herrera
38
1
0
03 Jun 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search
  Framework
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao
Yunzhuo Liu
Bo Jiang
Tian Guo
32
3
0
03 Jun 2024
Multi-Objective Neural Architecture Search by Learning Search Space
  Partitions
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
Yiyang Zhao
Linnan Wang
Tian Guo
43
1
0
01 Jun 2024
Multi-Objective Evolutionary Neural Architecture Search for Recurrent
  Neural Networks
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Reinhard Booysen
Anna Sergeevna Bosman
38
1
0
17 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
40
1
0
28 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level
  Optimization
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
45
6
0
17 Jan 2024
A knowledge-driven AutoML architecture
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
21
0
0
28 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems
AutoML for Large Capacity Modeling of Meta's Ranking Systems
Hang Yin
Kuang-Hung Liu
Mengying Sun
Yuxin Chen
Buyun Zhang
...
Huayu Li
Zhengxing Chen
Wen-Yen Chen
Jiyan Yang
Wei Wen
OffRL
13
2
0
14 Nov 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable
  Meta-Optimization for Knowledge Distillation
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding
M. Zoghi
Guy Tennenholtz
Maryam Karimzadehgan
18
0
0
29 Oct 2023
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model
  Effectiveness and Efficiency
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
Xiaoyun Liu
Divya Saxena
Jiannong Cao
Yuqing Zhao
Penghui Ruan
36
0
0
23 Oct 2023
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
Juan Zou
Shenghong Wu
Yizhang Xia
Weiwei Jiang
Zeping Wu
Jinhua Zheng
3DV
18
0
0
14 Oct 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints
  for Deep Learning Model Deployment on Tiny IoT Devices
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
Alessio Burrello
Matteo Risso
Beatrice Alessandra Motetti
Enrico Macii
Luca Benini
Daniele Jahier Pagliari
21
8
0
11 Oct 2023
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot
  Evolution Better
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
Jie Luo
Karine Miras
Jakub M. Tomczak
A. E. Eiben
15
1
0
22 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
42
3
0
11 Sep 2023
ICDARTS: Improving the Stability and Performance of Cyclic DARTS
ICDARTS: Improving the Stability and Performance of Cyclic DARTS
Emily Herron
Derek C. Rose
Steven R. Young
11
0
0
01 Sep 2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
E. López
Fergal Stapleton
16
3
0
04 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based
  Training for Neural Architecture Search
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
A. Chebykin
A. Dushatskiy
T. Alderliesten
Peter A. N. Bosman
29
0
0
28 Jul 2023
A Survey on Multi-Objective Neural Architecture Search
A Survey on Multi-Objective Neural Architecture Search
Seyed Mahdi Shariatzadeh
M. Fathy
R. Berangi
M. Shahverdy
25
1
0
18 Jul 2023
Search-time Efficient Device Constraints-Aware Neural Architecture
  Search
Search-time Efficient Device Constraints-Aware Neural Architecture Search
Oshin Dutta
Tanu Kanvar
Sumeet Agarwal
28
3
0
10 Jul 2023
Designing Novel Cognitive Diagnosis Models via Evolutionary
  Multi-Objective Neural Architecture Search
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search
Shangshang Yang
Haiping Ma
Cheng Zhen
Ye Tian
Limiao Zhang
Yaochu Jin
Xingyi Zhang
13
3
0
10 Jul 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Mehraveh Javan
Matthew Toews
M. Pedersoli
31
1
0
21 Jun 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse
  Perturbations
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha
Minseon Kim
S. Hwang
OOD
AAML
25
5
0
08 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
21
5
0
26 May 2023
Automated Search-Space Generation Neural Architecture Search
Automated Search-Space Generation Neural Architecture Search
Tianyi Chen
Luming Liang
Tian Ding
Ilya Zharkov
AI4CE
19
1
0
25 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
41
0
0
23 May 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated
  Learning Systems
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
FedML
16
3
0
11 May 2023
LayerNAS: Neural Architecture Search in Polynomial Complexity
LayerNAS: Neural Architecture Search in Polynomial Complexity
Yicheng Fan
Dana Alon
Jingyue Shen
Daiyi Peng
Keshav Kumar
Yun Long
Xin Wang
Fotis Iliopoulos
Da-Cheng Juan
Erik Vee
17
2
0
23 Apr 2023
Data Aware Neural Architecture Search
Data Aware Neural Architecture Search
Emil Njor
J. Madsen
Xenofon Fafoutis
16
7
0
04 Apr 2023
Can Fairness be Automated? Guidelines and Opportunities for
  Fairness-aware AutoML
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
B. Bischl
Frank Hutter
FaML
33
18
0
15 Mar 2023
OTOV2: Automatic, Generic, User-Friendly
OTOV2: Automatic, Generic, User-Friendly
Tianyi Chen
Luming Liang
Tian Ding
Zhihui Zhu
Ilya Zharkov
VLM
MQ
40
31
0
13 Mar 2023
EvoPrompting: Language Models for Code-Level Neural Architecture Search
EvoPrompting: Language Models for Code-Level Neural Architecture Search
Angelica Chen
David Dohan
David R. So
VLM
LRM
18
83
0
28 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with
  Transfer Learning for improving their Performance and Robustness
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
30
10
0
20 Feb 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on
  Multi-task Graph Neural Topology Search
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Xu Liu
F. Liu
Shuyuan Yang
29
5
0
06 Feb 2023
BOMP-NAS: Bayesian Optimization Mixed Precision NAS
BOMP-NAS: Bayesian Optimization Mixed Precision NAS
David van Son
F. D. Putter
Sebastian Vogel
Henk Corporaal
MQ
22
3
0
27 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
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Y. Sun
24
12
0
14 Jan 2023
Breaking the Architecture Barrier: A Method for Efficient Knowledge
  Transfer Across Networks
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks
Maciej A. Czyzewski
Daniel Nowak
Kamila Piechowiak
19
3
0
28 Dec 2022
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image
  and Time Series Classification
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
Andrea Falanti
Eugenio Lomurno
Danilo Ardagna
Matteo Matteucci
AI4TS
33
11
0
13 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Jian Guo
Sai Wang
L. Ni
H. Shum
AIFin
19
7
0
13 Dec 2022
Mind the Gap: Measuring Generalization Performance Across Multiple
  Objectives
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Florian Pfisterer
B. Bischl
Frank Hutter
51
5
0
08 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design
  Framework
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
Shikhar Tuli
Chia-Hao Li
Ritvik Sharma
N. Jha
28
13
0
07 Dec 2022
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