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SGAS: Sequential Greedy Architecture Search
v1v2 (latest)

SGAS: Sequential Greedy Architecture Search

30 November 2019
Ge Li
Guocheng Qian
Itzel C. Delgadillo
Matthias Muller
Ali K. Thabet
Guohao Li
    3DPC
ArXiv (abs)PDFHTML

Papers citing "SGAS: Sequential Greedy Architecture Search"

50 / 87 papers shown
Title
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
Xin Xue
Haoyi Zhou
Tianyu Chen
Shuai Zhang
Yizhou Long
Jianxin Li
AI4TS
94
0
0
23 Mar 2025
Efficient Global Neural Architecture Search
Efficient Global Neural Architecture Search
Shahid Siddiqui
C. Kyrkou
T. Theocharides
95
0
0
05 Feb 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Jialong Wang
Yang Li
Wenwu Zhu
CMLOOD
151
4
0
31 Dec 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference
  Cost
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Yuan Gao
Weizhong Zhang
Wenhan Luo
Lin Ma
Jin-Gang Yu
Gui-Song Xia
Jiayi Ma
87
1
0
09 May 2024
ApproxDARTS: Differentiable Neural Architecture Search with Approximate
  Multipliers
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
Michal Pinos
Lukás Sekanina
Vojtěch Mrázek
MQ
68
2
0
08 Apr 2024
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate
  Importance
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He
Longjun Liu
Haonan Zhang
Nanning Zheng
72
8
0
19 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion
  Models
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo
Jonas Kohler
Juan C. Pérez
Juan Pablo Pérez
Albert Pumarola
Guohao Li
Pablo Arbelaez
Ali K. Thabet
115
13
0
19 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS
  Predictor
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
H. Loya
Łukasz Dudziak
Abhinav Mehrotra
Royson Lee
Javier Fernandez-Marques
Nicholas D. Lane
Hongkai Wen
OOD
102
0
0
30 Nov 2023
Masked Autoencoders Are Robust Neural Architecture Search Learners
Masked Autoencoders Are Robust Neural Architecture Search Learners
Yiming Hu
Xiangxiang Chu
Bo Zhang
OOD
109
0
0
20 Nov 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text
  Classification
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Kuan-Yu Chen
Cheng Li
Kuo-Jung Lee
84
1
0
12 Jul 2023
Search-time Efficient Device Constraints-Aware Neural Architecture
  Search
Search-time Efficient Device Constraints-Aware Neural Architecture Search
Oshin Dutta
Tanu Kanvar
Sumeet Agarwal
64
3
0
10 Jul 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Mehraveh Javan
Matthew Toews
M. Pedersoli
113
1
0
21 Jun 2023
Neural Fine-Tuning Search for Few-Shot Learning
Neural Fine-Tuning Search for Few-Shot Learning
Panagiotis Eustratiadis
Łukasz Dudziak
Da Li
Timothy M. Hospedales
81
4
0
15 Jun 2023
Visual Tuning
Visual Tuning
Bruce X. B. Yu
Jianlong Chang
Haixin Wang
Lin Liu
Shijie Wang
...
Lingxi Xie
Haojie Li
Zhouchen Lin
Qi Tian
Chang Wen Chen
VLM
174
41
0
10 May 2023
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel
  Neural Architecture Search
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Di Wang
Bo Du
Lefei Zhang
Dacheng Tao
43
3
0
23 Apr 2023
Robust Neural Architecture Search
Robust Neural Architecture Search
Xunyu Zhu
Jian Li
Yong-Jin Liu
Weiping Wang
AAML
64
3
0
06 Apr 2023
Operation-level Progressive Differentiable Architecture Search
Operation-level Progressive Differentiable Architecture Search
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
103
6
0
11 Feb 2023
Improving Differentiable Architecture Search via Self-Distillation
Improving Differentiable Architecture Search via Self-Distillation
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
101
8
0
11 Feb 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DVAI4CE
131
143
0
20 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
117
94
0
13 Jan 2023
Neural Architectural Backdoors
Neural Architectural Backdoors
Ren Pang
Changjiang Li
Zhaohan Xi
S. Ji
Ting Wang
AAML
57
0
0
21 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
81
5
0
14 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
3DPC3DV
106
5
0
10 Oct 2022
Efficient Joint-Dimensional Search with Solution Space Regularization
  for Real-Time Semantic Segmentation
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Peng Ye
Baopu Li
Tao Chen
Jiayuan Fan
Zhen Mei
Chen-Fu Lin
Chongyan Zuo
Qinghua Chi
Wanli Ouyan
3DV
80
12
0
10 Aug 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Di Lin
Wenbin Hu
Danilo Mandic
100
33
0
18 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networks
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
82
11
0
14 Jul 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by
  Graph Neural Architecture Search
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Xu Wang
Huan Zhao
Lanning Wei
Quanming Yao
AI4CEGNN
60
3
0
13 Jul 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
134
3
0
24 Jun 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture
  Search
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
Han Xiao
Ziwei Wang
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
TDI
61
41
0
20 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
75
15
0
13 Jun 2022
Automatic Relation-aware Graph Network Proliferation
Automatic Relation-aware Graph Network Proliferation
Shaofei Cai
Liang Li
Xinzhe Han
Jiebo Luo
Zhengjun Zha
Qingming Huang
GNN
73
8
0
31 May 2022
Deep Architecture Connectivity Matters for Its Convergence: A
  Fine-Grained Analysis
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen
Wei-Ping Huang
Xinyu Gong
Boris Hanin
Zhangyang Wang
97
7
0
11 May 2022
UnrealNAS: Can We Search Neural Architectures with Unreal Data?
UnrealNAS: Can We Search Neural Architectures with Unreal Data?
Zhen Dong
Kaichen Zhou
Ge Li
Qiang Zhou
Mingfei Guo
Guohao Li
Kurt Keutzer
Shanghang Zhang
65
0
0
04 May 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
72
40
0
25 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
116
117
0
25 Apr 2022
Efficient Re-parameterization Operations Search for Easy-to-Deploy
  Network Based on Directional Evolutionary Strategy
Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy
Xinyi Yu
Xiaowei Wang
Jintao Rong
Mingyang Zhang
Linlin Ou
57
1
0
13 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
74
4
0
11 Apr 2022
Enhancing the Robustness, Efficiency, and Diversity of Differentiable
  Architecture Search
Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search
Chao Li
Jia Ning
Han Hu
Kun He
34
2
0
10 Apr 2022
A Survey of Supernet Optimization and its Applications: Spatial and
  Temporal Optimization for Neural Architecture Search
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search
Stephen Cha
Taehyeon Kim
Hayeon Lee
Se-Young Yun
AI4CE
86
2
0
08 Apr 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
91
26
0
29 Mar 2022
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can
  it be trusted for Neural Architecture Search without training?
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
J. Mok
Byunggook Na
Ji-Hoon Kim
Dongyoon Han
Sungroh Yoon
AAML
99
25
0
28 Mar 2022
End-to-End Active Speaker Detection
End-to-End Active Speaker Detection
Juan Carlos León Alcázar
M. Cordes
Chen Zhao
Guohao Li
107
28
0
27 Mar 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
134
2
0
04 Jan 2022
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion
  Perspective
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Lanning Wei
Huan Zhao
Zhiqiang He
AI4CE
81
44
0
29 Dec 2021
KNAS: Green Neural Architecture Search
KNAS: Green Neural Architecture Search
Jingjing Xu
Liang Zhao
Junyang Lin
Rundong Gao
Xu Sun
Hongxia Yang
80
59
0
26 Nov 2021
Full-attention based Neural Architecture Search using Context
  Auto-regression
Full-attention based Neural Architecture Search using Context Auto-regression
Yuan Zhou
Haiyang Wang
Shuwei Huo
Boyu Wang
67
3
0
13 Nov 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
122
83
0
25 Oct 2021
On the Security Risks of AutoML
On the Security Risks of AutoML
Ren Pang
Zhaohan Xi
S. Ji
Xiapu Luo
Ting Wang
AAML
56
10
0
12 Oct 2021
ZARTS: On Zero-order Optimization for Neural Architecture Search
ZARTS: On Zero-order Optimization for Neural Architecture Search
Xiaoxing Wang
Wenxuan Guo
Junchi Yan
Jianlin Su
Xiaokang Yang
77
25
0
10 Oct 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot
  Learning
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Fangqiu Yi
Henghui Ding
Guosheng Lin
Ruibo Li
Changhu Wang
Chunhua Shen
110
41
0
13 Sep 2021
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