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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 / 732 papers shown
Title
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
26
2
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
15
27
0
09 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
28
1
0
06 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
26
19
0
03 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
26
5
0
03 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
18
45
0
28 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
42
2
0
26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
36
60
0
26 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
  Learning Models on Edge Devices
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Yuji Chai
Devashree Tripathy
Chu Zhou
Dibakar Gope
Igor Fedorov
Ramon Matas
David Brooks
Gu-Yeon Wei
P. Whatmough
GNN
31
4
0
26 Jan 2023
Lightweight Neural Architecture Search for Temporal Convolutional
  Networks at the Edge
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Matteo Risso
Alessio Burrello
Francesco Conti
Lorenzo Lamberti
Yukai Chen
Luca Benini
Enrico Macii
M. Poncino
Daniele Jahier Pagliari
22
33
0
24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
36
60
0
24 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural
  Networks
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
Yang Sui
Lizhi Xiang
Dingwen Tao
Bo Yuan
18
19
0
20 Jan 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN
  and Neural Architecture Search
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search
Mehdi Asadi
Fatemeh Poursalim
Mohammad Loni
Masoud Daneshtalab
Mikael Sjödin
Arash Gharehbaghi
29
7
0
17 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
45
73
0
11 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for
  Click-Through Rate Prediction
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Yachen Yan
Liubo Li
14
3
0
06 Jan 2023
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
64
31
0
04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
39
2
0
03 Jan 2023
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Arash Ahmadian
Louis S.P. Liu
Yue Fei
Konstantinos N. Plataniotis
Mahdi S. Hosseini
21
0
0
31 Dec 2022
DAS: Neural Architecture Search via Distinguishing Activation Score
DAS: Neural Architecture Search via Distinguishing Activation Score
Yuqiao Liu
Haipeng Li
Yanan Sun
Shuaicheng Liu
33
1
0
23 Dec 2022
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
C. Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
A Study on the Intersection of GPU Utilization and CNN Inference
A Study on the Intersection of GPU Utilization and CNN Inference
J. Kosaian
Amar Phanishayee
23
3
0
15 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate
  Prediction
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li
Huifeng Guo
Luyao Hou
Wei Zhang
Xing Tang
Ruiming Tang
Rui Zhang
Rui Li
MQ
106
9
0
12 Dec 2022
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level
  Optimization
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization
Shu-Bo Yang
Yang Jiao
Shaoyu Dou
Mana Zheng
Chen Zhu
25
0
0
11 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Keith G. Mills
Fred X. Han
Jialin Zhang
Fabián A. Chudak
A. Mamaghani
Mohammad Salameh
Wei Lu
Shangling Jui
Di Niu
19
4
0
30 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs:
  One Neural Architecture Search Approach
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
19
1
0
20 Nov 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony
  Optimization
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization
M. Shahawy
E. Benkhelifa
21
1
0
18 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
35
1
0
16 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
Yun Yi
Haokui Zhang
Wenze Hu
Nannan Wang
Xiaoyu Wang
AI4TS
AI4CE
32
8
0
15 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
74
4
0
11 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
23
4
0
08 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
34
45
0
03 Nov 2022
Generative Adversarial Training Can Improve Neural Language Models
Generative Adversarial Training Can Improve Neural Language Models
Sajad Movahedi
A. Shakery
GAN
AI4CE
23
2
0
02 Nov 2022
DynamicISP: Dynamically Controlled Image Signal Processor for Image
  Recognition
DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition
Masakazu Yoshimura
Junji Otsuka
Atsushi Irie
Takeshi Ohashi
VLM
29
17
0
02 Nov 2022
Fast Adaptive Federated Bilevel Optimization
Fast Adaptive Federated Bilevel Optimization
Feihu Huang
FedML
20
7
0
02 Nov 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
39
6
0
02 Nov 2022
Search to Pass Messages for Temporal Knowledge Graph Completion
Search to Pass Messages for Temporal Knowledge Graph Completion
Zhen Wang
Haotong Du
Quanming Yao
Xuelong Li
22
11
0
30 Oct 2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search
  Framework
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
Liuchun Yuan
Zehao Huang
Naiyan Wang
29
0
0
26 Oct 2022
NASA: Neural Architecture Search and Acceleration for Hardware Inspired
  Hybrid Networks
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
Huihong Shi
Haoran You
Yang Katie Zhao
Zhongfeng Wang
Yingyan Lin
58
7
0
24 Oct 2022
Deep Model Reassembly
Deep Model Reassembly
Xingyi Yang
Zhou Daquan
Songhua Liu
Jingwen Ye
Xinchao Wang
MoMe
20
120
0
24 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
36
247
0
17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
28
1
0
16 Oct 2022
Pareto-aware Neural Architecture Generation for Diverse Computational
  Budgets
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets
Yong Guo
Yaofo Chen
Yin Zheng
Qi Chen
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
28
5
0
14 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Thomas C. P. Chau
L. Dudziak
Hongkai Wen
Nicholas D. Lane
Mohamed S. Abdelfattah
27
13
0
13 Oct 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point
  Clouds
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Chenxi Liu
Zhaoqi Leng
Peigen Sun
Shuyang Cheng
C. Qi
Yin Zhou
Mingxing Tan
Drago Anguelov
3DPC
3DV
37
5
0
10 Oct 2022
Deep Insights of Learning based Micro Expression Recognition: A
  Perspective on Promises, Challenges and Research Needs
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
Monu Verma
Santosh Kumar Vipparthi
Girdhari Singh
HAI
24
6
0
10 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
26
2
0
08 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu
Guanghui Zhu
Changhua Meng
Shiwen Cui
ZhenZhe Ying
Weiqiang Wang
GU Ming
Yihua Huang
AAML
36
13
0
07 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
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight
  Semantic Segmentation
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation
Yi-Chun Wang
J. Hsieh
Ming-Ching Chang
21
1
0
03 Oct 2022
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