ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.09055
  4. Cited By
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 / 752 papers shown
Title
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
19
2
0
03 Jul 2022
Automated Quantum Circuit Design with Nested Monte Carlo Tree Search
Automated Quantum Circuit Design with Nested Monte Carlo Tree Search
Peiyue Wang
M. Usman
U. Parampalli
Lloyd C. L. Hollenberg
C. Myers
17
16
0
01 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in
  spiking neural networks
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall
Joe Hays
40
3
0
25 Jun 2022
FEATHERS: Federated Architecture and Hyperparameter Search
FEATHERS: Federated Architecture and Hyperparameter Search
Jonas Seng
P. Prasad
Martin Mundt
Devendra Singh Dhami
Kristian Kersting
FedML
49
3
0
24 Jun 2022
Finite Expression Method for Solving High-Dimensional Partial
  Differential Equations
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Senwei Liang
Haizhao Yang
31
18
0
21 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Wang
Zeyang Zhang
Wenwu Zhu
24
26
0
18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup
Boosting Factorization Machines via Saliency-Guided Mixup
Chenwang Wu
Defu Lian
Yong Ge
Min Zhou
Enhong Chen
Dacheng Tao
11
4
0
17 Jun 2022
Architectural Backdoors in Neural Networks
Architectural Backdoors in Neural Networks
Mikel Bober-Irizar
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Nicolas Papernot
AAML
18
23
0
15 Jun 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
28
98
0
15 Jun 2022
Sparse Structure Search for Parameter-Efficient Tuning
Sparse Structure Search for Parameter-Efficient Tuning
Shengding Hu
Zhen Zhang
Ning Ding
Yadao Wang
Yasheng Wang
Zhiyuan Liu
Maosong Sun
31
16
0
15 Jun 2022
RF-Next: Efficient Receptive Field Search for Convolutional Neural
  Networks
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
Shanghua Gao
Zhong-Yu Li
Qi Han
Ming-Ming Cheng
Liang Wang
32
34
0
14 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
23
39
0
14 Jun 2022
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
Zhaofan Qiu
Ting Yao
Chong-Wah Ngo
Tao Mei
ViT
32
15
0
13 Jun 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel
  Hyperparameter Selection Problems
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy L. Gao
J. Ye
Haian Yin
Shangzhi Zeng
Jin Zhang
24
23
0
13 Jun 2022
Neural Prompt Search
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
41
144
0
09 Jun 2022
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
Zi-Yi Dou
Nanyun Peng
22
22
0
09 Jun 2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Towards Self-supervised and Weight-preserving Neural Architecture Search
Zhuowei Li
Yibo Gao
Zhenzhou Zha
Hu Zhiqiang
Qing Xia
Shaoting Zhang
Dimitris N. Metaxas
24
4
0
08 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
30
41
0
03 Jun 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
23
347
0
02 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
Deep Posterior Distribution-based Embedding for Hyperspectral Image
  Super-resolution
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
Jinhui Hou
Zhiyu Zhu
Junhui Hou
Huanqiang Zeng
Jinjian Wu
Jiantao Zhou
SupR
38
15
0
30 May 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
24
118
0
29 May 2022
AANG: Automating Auxiliary Learning
AANG: Automating Auxiliary Learning
Lucio Dery
Paul Michel
M. Khodak
Graham Neubig
Ameet Talwalkar
41
9
0
27 May 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
James Lee-Thorp
Joshua Ainslie
MoE
32
11
0
24 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
34
4
0
19 May 2022
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
28
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
343
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
7
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
Kaixuan Zhang
Radu Timofte
Luc Van Gool
F. Kong
...
Deng-Guang Zhou
Kun Zeng
Han-Yuan Lin
Xinyu Chen
Jin-Tao Fang
SupR
36
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
30
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
40
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
19
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
25
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
16
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
26
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
18
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
36
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
30
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
Bernard Ghanem
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
21
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
22
7
0
07 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
20
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
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
Previous
123...567...141516
Next