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DARTS: Differentiable Architecture Search
v1v2 (latest)

DARTS: Differentiable Architecture Search

24 June 2018
Hanxiao Liu
Karen Simonyan
Yiming Yang
ArXiv (abs)PDFHTML

Papers citing "DARTS: Differentiable Architecture Search"

50 / 2,367 papers shown
Title
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
Brian B. Moser
Arundhati S. Shanbhag
Stanislav Frolov
Federico Raue
Joachim Folz
Andreas Dengel
389
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DataRater: Meta-Learned Dataset Curation
DataRater: Meta-Learned Dataset Curation
Dan A. Calian
Gregory Farquhar
Iurii Kemaev
Luisa M. Zintgraf
Matteo Hessel
...
András Gyorgy
Tom Schaul
Jeffrey Dean
Hado van Hasselt
David Silver
417
4
0
23 May 2025
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe
Leona Hennig
Steffen Oeltze-Jafra
Marius Lindauer
455
1
0
22 May 2025
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
Nick Kocher
Christian Wassermann
Leona Hennig
Jonas Seng
Holger Hoos
Kristian Kersting
Marius Lindauer
Matthias Müller
279
0
0
21 May 2025
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
Alexandre Broggi
Nathaniel Bastian
Lance Fiondella
Gokhan Kul
AAML
140
1
0
20 May 2025
Half Search Space is All You Need
Half Search Space is All You Need
Pavel Rumiantsev
Mark Coates
170
0
0
19 May 2025
Learning to Program Quantum Measurements for Machine Learning
Learning to Program Quantum Measurements for Machine Learning
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Hsin-Yi Lin
Shinjae Yoo
260
3
0
18 May 2025
SEAL: Searching Expandable Architectures for Incremental Learning
SEAL: Searching Expandable Architectures for Incremental Learning
Matteo Gambella
Vicente Javier Castro Solar
CLL
418
0
0
15 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks
Efficient Mixed Precision Quantization in Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2025
Samir Moustafa
Nils M. Kriege
Wilfried Gansterer
GNNMQ
209
2
0
14 May 2025
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Yancheng Wang
Nebojsa Jojic
Yingzhen Yang
295
0
0
13 May 2025
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
Samuel Yen-Chi Chen
Chen-Yu Liu
Kuan-Cheng Chen
Wei-Jia Huang
Yen-Jui Chang
Wei-Hao Huang
177
6
0
13 May 2025
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2025
S. Casarin
Sergio Escalera
Oswald Lanz
322
2
0
12 May 2025
A stochastic gradient method for trilevel optimization
A stochastic gradient method for trilevel optimization
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
141
0
0
11 May 2025
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
298
1
0
07 May 2025
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong
Junfeng Yang
Wei-Ting Yao
Jin Zhang
909
1
0
04 May 2025
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
313
1
0
02 May 2025
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook
Muyi Bao
Shuchang Lyu
Zhaoyang Xu
Huiyu Zhou
Jinchang Ren
Shiming Xiang
Xuelong Li
Guangliang Cheng
Mamba
495
5
0
01 May 2025
Scalable Meta-Learning via Mixed-Mode Differentiation
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Iurii Kemaev
Dan A. Calian
Luisa M. Zintgraf
Gregory Farquhar
H. V. Hasselt
217
2
0
01 May 2025
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
175
0
0
30 Apr 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
X. Wang
Haoyang Li
Zeyang Zhang
Zeyang Zhang
Wenwu Zhu
LRM
305
1
0
28 Apr 2025
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network ShrinkingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Xuan Rao
Bo Zhao
Derong Liu
Cesare Alippi
411
0
0
25 Apr 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation
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Bingye Zhou
Caiyang Yu
Chenwei Tang
DiffM
515
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24 Apr 2025
Regularizing Differentiable Architecture Search with Smooth Activation
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Yanlin Zhou
Mostafa El-Khamy
Kee-Bong Song
145
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22 Apr 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
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Shiwen Qin
Gabriela Kadlecová
Martin Pilát
Shay B. Cohen
Roman Neruda
Elliot J. Crowley
Jovita Lukasik
Linus Ericsson
AI4CE
843
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zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
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Yancheng Zhang
Mengxin Zheng
Hang Zhang
Jingtong Hu
W. Shi
Lei Ju
Yan Solihin
Qian Lou
272
1
0
16 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
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Timur Carstensen
Neeratyoy Mallik
Katharina Eggensperger
Martin Rapp
AI4CE
233
1
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14 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
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Christophe El Zeinaty
W. Hamidouche
Glenn Herrou
D. Ménard
Merouane Debbah
205
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Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset
Kernel-Level Energy-Efficient Neural Architecture Search for Tabular DatasetAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2025
Hoang-Loc La
Phuong Hoai Ha
250
0
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Bridging the Gap Between Preference Alignment and Machine Unlearning
Bridging the Gap Between Preference Alignment and Machine Unlearning
Xiaohua Feng
Yuyuan Li
Huwei Ji
Jiaming Zhang
Lulu Zhang
Xuhong Zhang
Chaochao Chen
MU
186
2
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Federated Neural Architecture Search with Model-Agnostic Meta Learning
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedMLAI4CE
241
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The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation
Hamza Riaz
Alan F. Smeaton
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DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models
DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models
Sathish Kumar
Swaroop Damodaran
Naveen Kumar Kuruba
S. Jha
Arvind Ramanathan
121
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Spectral Architecture Search for Neural Network Models
Spectral Architecture Search for Neural Network Models
Gianluca Peri
Lorenzo Giambagli
Lorenzo Chicchi
Duccio Fanelli
147
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Sim-is-More: Randomizing HW-NAS with Synthetic Devices
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F. Capuano
Gabriele Tiboni
Niccolò Cavagnero
Giuseppe Averta
187
0
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Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
TingJie Zhang
HaiLin Liu
136
2
0
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Expanding-and-Shrinking Binary Neural Networks
Expanding-and-Shrinking Binary Neural Networks
Xulong Shi
Caiyi Sun
Zhi Qi
Liu Hao
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301
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ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers
ELASTIC: Efficient Once For All Iterative Search for Object Detection on Microcontrollers
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Bin Hu
263
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RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter DetectionIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
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Zhehui Wang
Yaoyu Zhang
Niangjun Chen
Bo Wang
448
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ZeroLM: Data-Free Transformer Architecture Search for Language Models
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Hong-Wei Ding
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Witold Pedrycz
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Offline Model-Based Optimization: Comprehensive Review
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Jiayao Gu
Ye Yuan
Taeyoung Yun
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Yoshua Bengio
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Subnet-Aware Dynamic Supernet Training for Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2025
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Youngmin Oh
J. Lee
Donghyeon Baek
Jeimin Jeon
Chanho Eom
Bumsub Ham
180
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Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search
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Manuel Roveri
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ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm
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Eugenio Lomurno
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Matteo Matteucci
Qingjiang Shi
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Zhiqing Tang
Jianxiong Guo
Tianhui Meng
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Tian-sheng Wang
Weijia Jia
342
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NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
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Yinning Shao
Yunlong Ma
Min Liu
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219
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Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond
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Haoyu Liu
Hongming Fu
Yichuan Peng
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Xin-Yue Fan
Risheng Liu
326
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SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models
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Zicheng Cai
Yaohua Tang
Yutao Lai
Hua Wang
Zhaoyu Chen
Hao Chen
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Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
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Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table
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