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Best Practices for Scientific Research on Neural Architecture Search

Best Practices for Scientific Research on Neural Architecture Search

5 September 2019
Marius Lindauer
Frank Hutter
ArXivPDFHTML

Papers citing "Best Practices for Scientific Research on Neural Architecture Search"

31 / 31 papers shown
Title
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
Patara Trirat
Jae-Gil Lee
16
0
0
15 May 2025
Quantum Architecture Search: A Survey
Quantum Architecture Search: A Survey
Darya Martyniuk
Johannes Jung
Adrian Paschke
AI4CE
36
7
0
10 Jun 2024
Anytime Neural Architecture Search on Tabular Data
Anytime Neural Architecture Search on Tabular Data
Naili Xing
Shaofeng Cai
Zhaojing Luo
Bengchin Ooi
Jian Pei
34
1
0
15 Mar 2024
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
35
1
0
12 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion
  Detection
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese
Pavel Laskov
J. Schneider
41
24
0
30 Apr 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Mina Ashoury
Mohammad Loni
F. Khunjush
Masoud Daneshtalab
20
1
0
11 Feb 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN
  and Neural Architecture Search
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search
Mehdi Asadi
Fatemeh Poursalim
Mohammad Loni
Masoud Daneshtalab
Mikael Sjödin
Arash Gharehbaghi
32
7
0
17 Jan 2023
Long-term Reproducibility for Neural Architecture Search
Long-term Reproducibility for Neural Architecture Search
David Towers
M. Forshaw
Amir Atapour-Abarghouei
A. Mcgough
19
1
0
11 Jul 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Wang
Zeyang Zhang
Wenwu Zhu
24
26
0
18 Jun 2022
Towards Less Constrained Macro-Neural Architecture Search
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes
L. A. Alexandre
28
5
0
10 Mar 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization
  Modules for Neural Architecture Search
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search
Hyunghun Cho
Jungwook Shin
Wonjong Rhee
33
7
0
07 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Improving the sample-efficiency of neural architecture search with
  reinforcement learning
Improving the sample-efficiency of neural architecture search with reinforcement learning
A. Nagy
Ábel Boros
22
3
0
13 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
27
35
0
07 Oct 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
46
100
0
14 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
79
448
0
13 Jul 2021
Bag of Tricks for Neural Architecture Search
Bag of Tricks for Neural Architecture Search
T. Elsken
B. Staffler
Arber Zela
J. H. Metzen
Frank Hutter
27
5
0
08 Jul 2021
Mutation is all you need
Mutation is all you need
Lennart Schneider
Florian Pfisterer
Martin Binder
B. Bischl
BDL
57
4
0
04 Jul 2021
FEAR: A Simple Lightweight Method to Rank Architectures
FEAR: A Simple Lightweight Method to Rank Architectures
Debadeepta Dey
Shital C. Shah
Sébastien Bubeck
OOD
24
4
0
07 Jun 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
18
71
0
15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
32
15
0
15 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
30
99
0
12 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
21
129
0
09 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
23
27
0
22 May 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
607
0
13 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
88
147
0
28 Jan 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
W. Neiswanger
Yash Savani
BDL
42
313
0
25 Oct 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
366
0
20 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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