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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 / 866 papers shown
Title
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
30
8
0
19 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
31
8
0
13 May 2022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li
Peng Sun
Radu Timofte
Luc Van Gool
F. Kong
...
Deng-Guang Zhou
Kun Zeng
Han-Yuan Lin
Xinyu Chen
Jin-Tao Fang
SupR
41
77
0
11 May 2022
A Collaboration Strategy in the Mining Pool for
  Proof-of-Neural-Architecture Consensus
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
Boyang Albert Li
Qing Lu
Weiwen Jiang
Taeho Jung
Yiyu Shi
36
5
0
05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
42
73
0
04 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance
  Reduction
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Junyi Li
Feihu Huang
Heng-Chiao Huang
FedML
28
27
0
03 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
17
20
0
28 Apr 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel
  Optimization Problems
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems
Hongchang Gao
FedML
41
1
0
28 Apr 2022
Machines of finite depth: towards a formalization of neural networks
Machines of finite depth: towards a formalization of neural networks
Pietro Vertechi
M. Bergomi
PINN
24
2
0
27 Apr 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search
Yameng Peng
A. Song
V. Ciesielski
Haytham M. Fayek
Xiaojun Chang
29
14
0
27 Apr 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
Zhijian Liu
Haotian Tang
Shengyu Zhao
Kevin Shao
Song Han
3DPC
21
40
0
25 Apr 2022
Automating Neural Architecture Design without Search
Automating Neural Architecture Design without Search
Zixuan Liang
Yanan Sun
3DV
23
0
0
21 Apr 2022
Searching Intrinsic Dimensions of Vision Transformers
Searching Intrinsic Dimensions of Vision Transformers
Fanghui Xue
Biao Yang
Y. Qi
Jack Xin
ViT
41
2
0
16 Apr 2022
Arch-Graph: Acyclic Architecture Relation Predictor for
  Task-Transferable Neural Architecture Search
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Minbin Huang
Zhijian Huang
Changlin Li
Xin Chen
Hangyang Xu
Zhenguo Li
Xiaodan Liang
36
18
0
12 Apr 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture
  Search
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
Guocheng Qian
Xuanyang Zhang
Ge Li
Chen Zhao
Yukang Chen
Xinming Zhang
Guohao Li
Jian Sun
39
4
0
11 Apr 2022
Searching for Efficient Neural Architectures for On-Device ML on Edge
  TPUs
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
Berkin Akin
Suyog Gupta
Yun Long
Anton Spiridonov
Zhuo Wang
Marie White
Haonan Xu
Ping Zhou
Yanqi Zhou
24
9
0
09 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
26
7
0
07 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
25
4
0
04 Apr 2022
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
29
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
13
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
41
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
23
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
24
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
40
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
36
318
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
43
42
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
27
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
24
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
28
32
0
12 Mar 2022
Deep AutoAugment
Deep AutoAugment
Yu Zheng
Zikai Zhang
Shen Yan
Mi Zhang
ViT
23
27
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
33
13
0
11 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes
L. A. Alexandre
36
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
30
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
33
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
29
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
24
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
21
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
18
102
0
03 Mar 2022
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