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. 2006.02903
  4. Cited By
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

1 June 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
    AI4CE
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions"

50 / 220 papers shown
Title
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
29
13
0
11 Apr 2023
Efficient Automation of Neural Network Design: A Survey on
  Differentiable Neural Architecture Search
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
Alexandre Heuillet
A. Nasser
Hichem Arioui
Hedi Tabia
AI4CE
22
11
0
11 Apr 2023
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look
  Into Operation Importance
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Vasco Lopes
Bruno Degardin
L. A. Alexandre
30
5
0
29 Mar 2023
Online Non-Destructive Moisture Content Estimation of Filter Media
  During Drying Using Artificial Neural Networks
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks
C. R. Wewer
Alexandros Iosifidis
14
2
0
27 Mar 2023
Core-Periphery Principle Guided Redesign of Self-Attention in
  Transformers
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers
Xiao-Xing Yu
Lu Zhang
Haixing Dai
Yanjun Lyu
Lin Zhao
Zihao Wu
David Liu
Tianming Liu
Dajiang Zhu
GNN
28
9
0
27 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep
  Ensembles are More Efficient than Single Models
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia
C. Bouganis
UQCV
50
12
0
14 Mar 2023
Deep Learning for Inertial Positioning: A Survey
Deep Learning for Inertial Positioning: A Survey
Changhao Chen
Xianfei Pan
16
47
0
07 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
28
116
0
01 Mar 2023
Full Stack Optimization of Transformer Inference: a Survey
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim
Coleman Hooper
Thanakul Wattanawong
Minwoo Kang
Ruohan Yan
...
Qijing Huang
Kurt Keutzer
Michael W. Mahoney
Y. Shao
A. Gholami
MQ
28
100
0
27 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient
  Fine-Tuning
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
16
45
0
28 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
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
130
90
0
31 Dec 2022
Meta-Learning for Automated Selection of Anomaly Detectors for
  Semi-Supervised Datasets
Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets
David Schubert
Pritha Gupta
Marcel Wever
14
2
0
24 Nov 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset
  Distillation
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Jiawei Du
Yiding Jiang
Vincent Y. F. Tan
Joey Tianyi Zhou
Haizhou Li
DD
35
109
0
20 Nov 2022
RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic
  Basecallers
RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
Gagandeep Singh
M. Alser
K. Denolf
Can Firtina
Alireza Khodamoradi
Meryem Banu Cavlak
Henk Corporaal
O. Mutlu
38
12
0
06 Nov 2022
$Λ$-DARTS: Mitigating Performance Collapse by Harmonizing
  Operation Selection among Cells
ΛΛΛ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
Sajad Movahedi
Melika Adabinejad
Ayyoob Imani
Arezou Keshavarz
Mostafa Dehghani
A. Shakery
Babak Nadjar Araabi
21
17
0
14 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
29
47
0
13 Oct 2022
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural
  Architecture Search
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search
Pedram Bakhtiarifard
Christian Igel
Raghavendra Selvan
19
6
0
12 Oct 2022
Residual-based error correction for neural operator accelerated
  infinite-dimensional Bayesian inverse problems
Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems
Lianghao Cao
Thomas O'Leary-Roseberry
Prashant K. Jha
J. Oden
Omar Ghattas
21
26
0
06 Oct 2022
POPNASv2: An Efficient Multi-Objective Neural Architecture Search
  Technique
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
Andrea Falanti
Eugenio Lomurno
Stefano Samele
Danilo Ardagna
Matteo Matteucci
6
7
0
06 Oct 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task
  Neural Architecture Search
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Vu
Yan-Quan Zhou
Chun-Yung Wen
Yueqi Li
Jan-Michael Frahm
32
4
0
04 Oct 2022
NasHD: Efficient ViT Architecture Performance Ranking using
  Hyperdimensional Computing
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing
Dongning Ma
Pengfei Zhao
Xun Jiao
22
0
0
23 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
27
4
0
15 Sep 2022
Scene Graph Modification as Incremental Structure Expanding
Scene Graph Modification as Incremental Structure Expanding
Xuming Hu
Zhijiang Guo
Yuwei Fu
Lijie Wen
Philip S. Yu
31
2
0
15 Sep 2022
Generalization Properties of NAS under Activation and Skip Connection
  Search
Generalization Properties of NAS under Activation and Skip Connection Search
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
AI4CE
13
14
0
15 Sep 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms,
  Applications and Open Issues
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
22
70
0
23 Aug 2022
Neural Architecture Search as Multiobjective Optimization Benchmarks:
  Problem Formulation and Performance Assessment
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
Zhichao Lu
Ran Cheng
Yaochu Jin
Kay Chen Tan
Kalyanmoy Deb
19
53
0
08 Aug 2022
HPO: We won't get fooled again
HPO: We won't get fooled again
Kalifou René Traoré
Andrés Camero
Xiao Xiang Zhu
16
0
0
04 Aug 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
18
2
0
21 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
Single Model Uncertainty Estimation via Stochastic Data Centering
Jayaraman J. Thiagarajan
Rushil Anirudh
V. Narayanaswamy
P. Bremer
UQCV
OOD
17
26
0
14 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networks
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
31
9
0
14 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
17
2
0
03 Jul 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
19
117
0
29 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
34
4
0
19 May 2022
A Hardware-Aware Framework for Accelerating Neural Architecture Search
  Across Modalities
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities
Daniel Cummings
Anthony Sarah
S. N. Sridhar
Maciej Szankin
J. P. Muñoz
Sairam Sundaresan
28
8
0
19 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
19
1
0
12 May 2022
Birds of A Feather Flock Together: Category-Divergence Guidance for
  Domain Adaptive Segmentation
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
Bo Yuan
Danpei Zhao
Shuai Shao
Zehuan Yuan
Changhu Wang
57
14
0
05 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations
A Comprehensive Survey on Automated Machine Learning for Recommendations
Bo Chen
Xiangyu Zhao
Yejing Wang
Wenqi Fan
Huifeng Guo
Ruiming Tang
AI4TS
18
6
0
04 Apr 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
21
2
0
25 Mar 2022
An Intelligent End-to-End Neural Architecture Search Framework for
  Electricity Forecasting Model Development
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development
Jin Yang
Guangxin Jiang
Ying-Fan Huang
Ying Chen
AI4TS
22
0
0
25 Mar 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A
  Survey
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
196
93
0
16 Mar 2022
Less is More: Proxy Datasets in NAS approaches
Less is More: Proxy Datasets in NAS approaches
Brian B. Moser
Federico Raue
Jörn Hees
Andreas Dengel
DD
6
6
0
14 Mar 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
Accelerating Neural Architecture Exploration Across Modalities Using
  Genetic Algorithms
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms
Daniel Cummings
S. N. Sridhar
Anthony Sarah
Maciej Szankin
AI4CE
25
0
0
25 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin
Liujuan Cao
Yu-xin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
14
51
0
15 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
24
0
0
02 Feb 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of
  Bicycle Frames
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
Lyle Regenwetter
Colin Weaver
Faez Ahmed
AI4CE
24
17
0
25 Jan 2022
DARTS without a Validation Set: Optimizing the Marginal Likelihood
DARTS without a Validation Set: Optimizing the Marginal Likelihood
M. Fil
Binxin Ru
Clare Lyle
Y. Gal
19
2
0
24 Dec 2021
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion
  Batteries
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
H. Tu
S. Moura
Yebin Wang
H. Fang
11
84
0
24 Dec 2021
Previous
12345
Next