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DARTS: Differentiable Architecture Search

DARTS: Differentiable Architecture Search

24 June 2018
Hanxiao Liu
Karen Simonyan
Yiming Yang
ArXivPDFHTML

Papers citing "DARTS: Differentiable Architecture Search"

50 / 775 papers shown
Title
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
24
12
0
04 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
26
6
0
04 Apr 2022
Novelty Driven Evolutionary Neural Architecture Search
Novelty Driven Evolutionary Neural Architecture Search
Nilotpal Sinha
Kuan-Wen Chen
11
8
0
01 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum
  Circuits
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Jiahao Yao
Haoya Li
Marin Bukov
Lin Lin
Lexing Ying
16
15
0
30 Mar 2022
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping
  Reinforcement
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
M. Das
Brijraj Singh
Harsh Chheda
Pawan Sharma
NS Pradeep
33
0
0
29 Mar 2022
Generalizing Few-Shot NAS with Gradient Matching
Generalizing Few-Shot NAS with Gradient Matching
Shou-Yong Hu
Ruochen Wang
Lanqing Hong
Zhenguo Li
Cho-Jui Hsieh
Jiashi Feng
25
23
0
29 Mar 2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for
  Temporal Convolutional Networks
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
Francesco Conti
Lorenzo Lamberti
Enrico Macii
Luca Benini
M. Poncino
21
10
0
28 Mar 2022
Automated Progressive Learning for Efficient Training of Vision
  Transformers
Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
28
46
0
28 Mar 2022
AutoTS: Automatic Time Series Forecasting Model Design Based on
  Two-Stage Pruning
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning
Chunnan Wang
Xing-Yu Chen
Chen-Hung Wu
Hongzhi Wang
TPM
AI4TS
16
4
0
26 Mar 2022
Training-free Transformer Architecture Search
Training-free Transformer Architecture Search
Qinqin Zhou
Kekai Sheng
Xiawu Zheng
Ke Li
Xing Sun
Yonghong Tian
Jie Chen
Rongrong Ji
ViT
32
46
0
23 Mar 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped
  Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He
Zi Yang
Weikun Peng
Rui Ma
Hongwei Qin
Yan Wang
30
317
0
21 Mar 2022
EAutoDet: Efficient Architecture Search for Object Detection
EAutoDet: Efficient Architecture Search for Object Detection
Xiaoxing Wang
Jiale Lin
Junchi Yan
Juanping Zhao
Xiaokang Yang
32
23
0
21 Mar 2022
Continual Sequence Generation with Adaptive Compositional Modules
Continual Sequence Generation with Adaptive Compositional Modules
Yanzhe Zhang
Xuezhi Wang
Diyi Yang
KELM
CLL
41
41
0
20 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Zehao Dong
Muhan Zhang
Fuhai Li
Yixin Chen
CML
GNN
33
17
0
19 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Jovita Lukasik
Steffen Jung
M. Keuper
24
15
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
14
6
0
14 Mar 2022
Automated Learning for Deformable Medical Image Registration by Jointly
  Optimizing Network Architectures and Objective Functions
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions
Xin-Yue Fan
Zi Li
Ziyang Li
Xiaolin Wang
Risheng Liu
Zhongxuan Luo
Hao Huang
21
11
0
14 Mar 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
Xinming Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian Sun
VLM
49
528
0
13 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Pengfei Guo
Dong Yang
Ali Hatamizadeh
An Xu
Ziyue Xu
...
F. Patella
Elvira Stellato
G. Carrafiello
Vishal M. Patel
H. Roth
OOD
FedML
22
32
0
12 Mar 2022
Deep AutoAugment
Deep AutoAugment
Yu Zheng
Z. Zhang
Shen Yan
Mi Zhang
ViT
21
26
0
11 Mar 2022
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures
  and Beyond
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond
Tiange Xiang
Chaoyi Zhang
Xinyi Wang
Yang Song
Dongnan Liu
Heng-Chiao Huang
Weidong (Tom) Cai
MedIm
AI4CE
SSeg
16
13
0
11 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
MetaCon: Unified Predictive Segments System with Trillion Concept
  Meta-Learning
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li
Yifan Hu
Logan Palanisamy
Lisa Jones
A. Gupta
J. E. Grigsby
Ili Selinger
Matt Gillingham
Fei Tan
26
1
0
09 Mar 2022
SuperCone: Unified User Segmentation over Heterogeneous Experts via
  Concept Meta-learning
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning
Keqian Li
Yifan Hu
28
0
0
09 Mar 2022
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode
  Relationships
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships
David Calhas
Rui Henriques
25
8
0
07 Mar 2022
Adaptive Cross-Layer Attention for Image Restoration
Adaptive Cross-Layer Attention for Image Restoration
Yancheng Wang
N. Xu
Yingzhen Yang
21
3
0
04 Mar 2022
WPNAS: Neural Architecture Search by jointly using Weight Sharing and
  Predictor
WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor
Ke Lin
A. Yong
Zhuoxin Gan
Yingying Jiang
16
0
0
04 Mar 2022
Fast Neural Architecture Search for Lightweight Dense Prediction
  Networks
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh
Esa Rahtu
Juan E. Sala Matas
J. Heikkilä
20
2
0
03 Mar 2022
Improvements to Gradient Descent Methods for Quantum Tensor Network
  Machine Learning
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning
F. Barratt
J. Dborin
L. Wright
11
11
0
03 Mar 2022
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture
  Search
βββ-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Peng Ye
Baopu Li
Yikang Li
Tao Chen
Jiayuan Fan
Wanli Ouyang
16
101
0
03 Mar 2022
Neural Architecture Search using Progressive Evolution
Neural Architecture Search using Progressive Evolution
Nilotpal Sinha
Kuan-Wen Chen
19
6
0
03 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
37
59
0
01 Mar 2022
An Efficient End-to-End 3D Voxel Reconstruction based on Neural
  Architecture Search
An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search
Yongdong Huang
Yuanzhan Li
Xulong Cao
Siyu Zhang
Shen Cai
Ting Lu
Jie Wang
Yuqiao Liu
3DV
22
1
0
27 Feb 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
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
13
15
0
23 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
33
17
0
15 Feb 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
Maor Ivgi
Y. Carmon
Jonathan Berant
11
17
0
13 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
  Transfer
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu
Deepak Pathak
Kris M. Kitani
23
19
0
10 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks
Model Architecture Adaption for Bayesian Neural Networks
Duo Wang
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
UQCV
OOD
BDL
18
0
0
09 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
28
75
0
07 Feb 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
30
7
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
35
8
0
06 Feb 2022
Deep invariant networks with differentiable augmentation layers
Deep invariant networks with differentiable augmentation layers
Cédric Rommel
Thomas Moreau
Alexandre Gramfort
OOD
27
8
0
04 Feb 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
27
15
0
30 Jan 2022
DropNAS: Grouped Operation Dropout for Differentiable Architecture
  Search
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Weijun Hong
Guilin Li
Weinan Zhang
Ruiming Tang
Yunhe Wang
Zhenguo Li
Yong Yu
OOD
41
54
0
27 Jan 2022
An Automated Question-Answering Framework Based on Evolution Algorithm
An Automated Question-Answering Framework Based on Evolution Algorithm
Sinan Tan
Hui Xue
Qiyu Ren
Huaping Liu
Jing Bai
16
0
0
26 Jan 2022
ASFD: Automatic and Scalable Face Detector
ASFD: Automatic and Scalable Face Detector
Jian Li
Bin Zhang
Yabiao Wang
Ying Tai
Feiyue Huang
Chengjie Wang
Jilin Li
Wenjiang Pei
Yili Xia
CVBM
51
43
0
26 Jan 2022
Neural Architecture Searching for Facial Attributes-based Depression
  Recognition
Neural Architecture Searching for Facial Attributes-based Depression Recognition
Mingzhe Chen
Xi Xiao
Bin Zhang
Xinyu Liu
Runiu Lu
CVBM
28
5
0
24 Jan 2022
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