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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 / 2,369 papers shown
Title
Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes
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Qiang Wen
Yue Wu
Qifeng Chen
233
8
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12 Feb 2023
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing
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Neural Architecture Search with Multimodal Fusion Methods for Diagnosing DementiaIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Michail Chatzianastasis
Loukas Ilias
D. Askounis
Michalis Vazirgiannis
215
5
0
12 Feb 2023
Cross-Modal Fine-Tuning: Align then Refine
Cross-Modal Fine-Tuning: Align then RefineInternational Conference on Machine Learning (ICML), 2023
Junhong Shen
Liam Li
Lucio Dery
Corey Staten
M. Khodak
Graham Neubig
Ameet Talwalkar
206
57
0
11 Feb 2023
Operation-level Progressive Differentiable Architecture Search
Operation-level Progressive Differentiable Architecture SearchIndustrial Conference on Data Mining (IDM), 2021
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
167
6
0
11 Feb 2023
Improving Differentiable Architecture Search via Self-Distillation
Improving Differentiable Architecture Search via Self-DistillationNeural Networks (Neural Netw.), 2023
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
246
10
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11 Feb 2023
Unified Functional Hashing in Automatic Machine Learning
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard
S. Jonany
Yingjie Miao
Michael Munn
Connal de Souza
Jonathan Dungay
Chen Liang
David R. So
Quoc V. Le
Esteban Real
213
2
0
10 Feb 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DNArch: Learning Convolutional Neural Architectures by Backpropagation
David W. Romero
Neil Zeghidour
AI4CE
143
4
0
10 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With
  Distillation-Based Neural Architecture Search and Knowledge Transfer
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu
T. Yamasaki
Yu Wang
K. Mase
Jien Kato
222
35
0
09 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without
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Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong ConvexityInternational Conference on Machine Learning (ICML), 2023
Risheng Liu
Yaohua Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
206
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07 Feb 2023
Multipath agents for modular multitask ML systems
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Andrea Gesmundo
221
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RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation
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Hongwu Peng
Shangli Zhou
Yukui Luo
Nuo Xu
Shijin Duan
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Chenghong Wang
Tong Geng
Wujie Wen
Xiaolin Xu
Caiwen Ding
192
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Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Siyuan Xu
Minghui Zhu
165
24
0
03 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
261
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Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"AAAI Conference on Artificial Intelligence (AAAI), 2023
Junbo Zhao
Xuefei Ning
En-hao Liu
Binxin Ru
Zixuan Zhou
Tianchen Zhao
Chen Chen
Jiajin Zhang
Q. Liao
Yu Wang
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210
5
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NASiam: Efficient Representation Learning using Neural Architecture
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Alexandre Heuillet
Hedi Tabia
Hichem Arioui
182
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Pipe-BD: Pipelined Parallel Blockwise Distillation
Pipe-BD: Pipelined Parallel Blockwise DistillationDesign, Automation and Test in Europe (DATE), 2023
Hongsun Jang
Jaewon Jung
Jaeyong Song
Joonsang Yu
Youngsok Kim
Jinho Lee
MoEAI4CE
164
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0
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AutoPEFT: Automatic Configuration Search for Parameter-Efficient
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AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-TuningTransactions of the Association for Computational Linguistics (TACL), 2023
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
206
50
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Open Problems in Applied Deep Learning
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M. Raissi
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219
3
0
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ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on GradientsInternational Conference on Learning Representations (ICLR), 2023
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
440
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PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
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Yuji Chai
Devashree Tripathy
Chu Zhou
Dibakar Gope
Igor Fedorov
Ramon Matas
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Gu-Yeon Wei
P. Whatmough
GNN
155
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Lightweight Neural Architecture Search for Temporal Convolutional
  Networks at the Edge
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the EdgeIEEE transactions on computers (IEEE Trans. Comput.), 2023
Matteo Risso
Luca Bompani
Francesco Conti
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Luca Benini
Enrico Macii
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Daniele Jahier Pagliari
212
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Probabilistic Bilevel Coreset Selection
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RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking
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RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost ProxiesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Peijie Dong
Xin-Yi Niu
Lujun Li
Zhiliang Tian
Xiaodong Wang
Zimian Wei
H. Pan
Dongsheng Li
250
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Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution LearningInternational Conference on Machine Learning (ICML), 2023
Xiao Zhou
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Enabling Hard Constraints in Differentiable Neural Network and
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Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-ExplorationDesign Automation Conference (DAC), 2022
Deokki Hong
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Hyeyoon Lee
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Noseong Park
Youngsok Kim
Jinho Lee
129
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23 Jan 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient
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Learning to Linearize Deep Neural Networks for Secure and Efficient Private InferenceInternational Conference on Learning Representations (ICLR), 2023
Souvik Kundu
Shun Lu
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Peter A. Beerel
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GP-NAS-ensemble: a model for NAS Performance Prediction
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Lujun Li
186
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Neural Architecture Search: Insights from 1000 Papers
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Mahmoud Safari
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Binxin Ru
T. Elsken
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Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
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Bo Yuan
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RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge
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Utkarsh Nath
Yancheng Wang
Yingzhen Yang
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190
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Revisiting the Spatial and Temporal Modeling for Few-shot Action
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Efficient Evaluation Methods for Neural Architecture Search: A Survey
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Rethinking Mobile Block for Efficient Attention-based Models
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Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
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