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ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients

ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients

26 January 2023
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
ArXivPDFHTML

Papers citing "ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients"

42 / 42 papers shown
Title
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
S. Casarin
Sergio Escalera
O. Lanz
22
0
0
12 May 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
Tomomasa Yamasaki
Zhehui Wang
Tao Luo
Niangjun Chen
Bo Wang
32
0
0
26 Mar 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
Jeimin Jeon
Youngmin Oh
J. Lee
Donghyeon Baek
Dohyung Kim
Chanho Eom
Bumsub Ham
41
0
0
13 Mar 2025
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
P. Rumiantsev
Mark Coates
43
0
0
27 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
Raphael T. Husistein
Markus Reiher
Marco Eckhoff
80
1
0
20 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
82
0
0
28 Jan 2025
No More Adam: Learning Rate Scaling at Initialization is All You Need
No More Adam: Learning Rate Scaling at Initialization is All You Need
Minghao Xu
Lichuan Xiang
Xu Cai
Hongkai Wen
73
2
0
16 Dec 2024
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via
  Hierarchical Edge Partitioning
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
J. Li
Jiawen Zhang
Feng Wang
Lianbo Ma
69
0
0
14 Dec 2024
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient
  NAS
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
Gabriel Cortes
Nuno Lourenço
Penousal Machado
59
0
0
22 Nov 2024
ActNAS : Generating Efficient YOLO Models using Activation NAS
ActNAS : Generating Efficient YOLO Models using Activation NAS
Sudhakar Sah
Ravish Kumar
Darshan C. Ganji
Ehsan Saboori
15
0
0
11 Oct 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
LPZero: Language Model Zero-cost Proxy Search from Zero
Peijie Dong
Lujun Li
Xiang Liu
Zhenheng Tang
Xuebo Liu
Qiang Wang
Xiaowen Chu
28
2
0
07 Oct 2024
ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal
  Photonic Tensor Cores
ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores
Ziyang Jiang
Pingchuan Ma
Meng Zhang
Rena Huang
Jiaqi Gu
19
0
0
02 Oct 2024
FastTalker: Jointly Generating Speech and Conversational Gestures from
  Text
FastTalker: Jointly Generating Speech and Conversational Gestures from Text
Zixin Guo
Jian Zhang
24
1
0
24 Sep 2024
Efficient Training of Large Vision Models via Advanced Automated
  Progressive Learning
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
Changlin Li
Jiawei Zhang
Sihao Lin
Zongxin Yang
Junwei Liang
Xiaodan Liang
Xiaojun Chang
VLM
16
0
0
06 Sep 2024
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs
Ye Qiao
Haocheng Xu
Yifan Zhang
Sitao Huang
33
0
0
26 Aug 2024
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark
  and Analysis
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis
Fangqin Zhou
Mert Kilickaya
Joaquin Vanschoren
Ran Piao
16
1
0
23 Jul 2024
Federated Learning with Flexible Architectures
Federated Learning with Flexible Architectures
Jong-Ik Park
Carlee Joe-Wong
FedML
26
3
0
14 Jun 2024
Differentiable Model Scaling using Differentiable Topk
Differentiable Model Scaling using Differentiable Topk
Kai Liu
Ruohui Wang
Jianfei Gao
Kai Chen
MedIm
VLM
20
1
0
12 May 2024
Graph is all you need? Lightweight data-agnostic neural architecture
  search without training
Graph is all you need? Lightweight data-agnostic neural architecture search without training
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Chunheng Jiang
Jianxi Gao
GNN
16
0
0
02 May 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph
  Convolution Networks for Efficient Neural Architecture Search
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search
Ye Qiao
Haocheng Xu
Sitao Huang
19
0
0
30 Mar 2024
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
Junghyup Lee
Bumsub Ham
16
1
0
28 Mar 2024
Anytime Neural Architecture Search on Tabular Data
Anytime Neural Architecture Search on Tabular Data
Naili Xing
Shaofeng Cai
Zhaojing Luo
Bengchin Ooi
Jian Pei
24
1
0
15 Mar 2024
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Yameng Peng
Andy Song
Haytham M. Fayek
Victor Ciesielski
Xiaojun Chang
21
4
0
07 Mar 2024
OTOv3: Automatic Architecture-Agnostic Neural Network Training and
  Compression from Structured Pruning to Erasing Operators
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
Tianyi Chen
Tianyu Ding
Zhihui Zhu
Zeyu Chen
HsiangTao Wu
Ilya Zharkov
Luming Liang
11
3
0
15 Dec 2023
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss
  Landscape
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng
Kuang-Hung Liu
Igor Fedorov
Xin Zhang
Wen-Yen Chen
Wei Wen
23
1
0
22 Nov 2023
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks
Kartikeya Bhardwaj
Hsin-Pai Cheng
Sweta Priyadarshi
Zhuojing Li
19
1
0
26 Sep 2023
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems
Ivan Lazarevich
Matteo Grimaldi
Ravi Kumar
Saptarshi Mitra
Shahrukh Khan
Sudhakar Sah
ObjD
FedML
ELM
25
10
0
26 Jul 2023
Zero-Shot Neural Architecture Search: Challenges, Solutions, and
  Opportunities
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
Guihong Li
Duc-Tuong Hoang
Kartikeya Bhardwaj
Ming Lin
Zhangyang Wang
R. Marculescu
25
10
0
05 Jul 2023
Automated Search-Space Generation Neural Architecture Search
Automated Search-Space Generation Neural Architecture Search
Tianyi Chen
Luming Liang
Tian Ding
Ilya Zharkov
AI4CE
11
1
0
25 May 2023
Learning Activation Functions for Sparse Neural Networks
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni
Aditya Mohan
Mehdi Asadi
Marius Lindauer
13
4
0
18 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
21
0
0
13 May 2023
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
Shenghe Zheng
Hongzhi Wang
Tianyu Mu
20
1
0
25 Feb 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Y. Sun
11
12
0
14 Jan 2023
Automated Dominative Subspace Mining for Efficient Neural Architecture
  Search
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
Yaofo Chen
Yong Guo
Daihai Liao
Fanbing Lv
Hengjie Song
James Tin-Yau Kwok
Mingkui Tan
16
4
0
31 Oct 2022
On skip connections and normalisation layers in deep optimisation
On skip connections and normalisation layers in deep optimisation
L. MacDonald
Jack Valmadre
Hemanth Saratchandran
Simon Lucey
ODL
11
1
0
10 Oct 2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture
  Search
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
Yao Shu
Zhongxiang Dai
Zhaoxuan Wu
K. H. Low
AI4CE
39
26
0
24 Jan 2022
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons
Parham Noorzad
Andrii Skliar
G. Mariani
Dushyant Mehta
Chris Lott
Tijmen Blankevoort
129
43
0
16 Dec 2020
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
150
232
0
04 Mar 2020
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
365
0
20 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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