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Efficient Neural Architecture Search via Parameter Sharing

9 February 2018

Papers citing "Efficient Neural Architecture Search via Parameter Sharing"

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Title
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters Julie Keisler El-Ghazali Talbi Sandra Claudel Gilles Cabriel 86 6 0 27 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search Fred X. Han Keith G. Mills Fabián A. Chudak Parsa Riahi Mohammad Salameh Jialin Zhang Wei Lu Shangling Jui Di Niu AI4CE OOD 87 3 0 21 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 95 11 0 20 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 86 18 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 93 13 0 16 Feb 2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search Guangliang Cheng Peng Sun Ting-Bing Xu Shuchang Lyu Peiwen Lin 100 1 0 16 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 178 383 0 13 Feb 2023
Stitchable Neural Networks Zizheng Pan Jianfei Cai Bohan Zhuang 104 25 0 13 Feb 2023
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 Xunyu Zhu Jian Li Yong Liu Weiping Wang 101 8 0 11 Feb 2023
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 92 28 0 09 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 98 16 0 06 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 93 1 0 06 Feb 2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao Xuefei Ning En-hao Liu Binxin Ru Zixuan Zhou Tianchen Zhao Chen Chen Jiajin Zhang Q. Liao Yu Wang AI4CE 82 2 0 02 Feb 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 123 63 0 26 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 140 32 0 24 Jan 2023
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies Peijie Dong Xin-Yi Niu Lujun Li Zhiliang Tian Xiaodong Wang Zimian Wei H. Pan Dongsheng Li 149 15 0 24 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 129 143 0 20 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 93 1 0 18 Jan 2023
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 58 8 0 17 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning Anshumaan Chauhan S. Bhattacharyya S. Vadivel OOD 39 3 0 17 Jan 2023
Improving Reliability of Fine-tuning with Block-wise Optimisation Basel Barakat Qiang Huang 60 1 0 15 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 67 8 0 09 Jan 2023
StitchNet: Composing Neural Networks from Pre-Trained Fragments Surat Teerapittayanon Marcus Z. Comiter Bradley McDanel H. T. Kung 98 1 0 05 Jan 2023
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks Maciej A. Czyzewski Daniel Nowak Kamila Piechowiak 66 3 0 28 Dec 2022
OVO: One-shot Vision Transformer Search with Online distillation Zimian Wei H. Pan Xin-Yi Niu Dongsheng Li ViT 69 1 0 28 Dec 2022
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 71 2 0 28 Dec 2022
DAS: Neural Architecture Search via Distinguishing Activation Score Yuqiao Liu Haipeng Li Yanan Sun Shuaicheng Liu 72 1 0 23 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 66 0 0 19 Dec 2022
A Study on the Intersection of GPU Utilization and CNN Inference J. Kosaian Amar Phanishayee 59 5 0 15 Dec 2022
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification Andrea Falanti Eugenio Lomurno Danilo Ardagna Matteo Matteucci AI4TS 74 11 0 13 Dec 2022
Single Cell Training on Architecture Search for Image Denoising Bokyeung Lee Kyungdeuk Ko Jonghwan Hong Hanseok Ko 56 1 0 13 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 84 2 0 10 Dec 2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo Shuai Zhao Yi Zhang Huai Wang B. Yang PINN 29 3 0 08 Dec 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks Zhongwei Wan Yichun Yin Wei Zhang Jiaxin Shi Lifeng Shang Guangyong Chen Xin Jiang Qun Liu VLM CLL 127 18 0 07 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 104 2 0 07 Dec 2022
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification Keith G. Mills Di Niu Mohammad Salameh Weichen Qiu Fred X. Han Puyuan Liu Jialin Zhang Wei Lu Shangling Jui 110 7 0 30 Nov 2022
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Jingjing Chen Yue Yu Xue Song Zunlei Feng Yueping Jiang 89 2 0 29 Nov 2022
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models Muchen Li Jeffrey Liu Leonid Sigal Renjie Liao GNN 44 5 0 28 Nov 2022
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types Zhenhao Shuai Hongbo Liu Zhaolin Wan Wei-jie Yu Jinchao Zhang 67 3 0 27 Nov 2022
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Xin He Jiangchao Yao Yuxin Wang Zhenheng Tang Ka Chu Cheung Simon See Bo Han Xiaowen Chu 100 10 0 23 Nov 2022
Learning Low-Rank Representations for Model Compression Zezhou Zhu Yucong Zhou Zhaobai Zhong SSL MQ 64 3 0 21 Nov 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 101 121 0 20 Nov 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization M. Shahawy E. Benkhelifa 62 1 0 18 Nov 2022
$α$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling Bicheng Guo Shuxuan Guo Miaojing Shi Peng Cheng Shibo He Jiming Chen Kaicheng Yu 69 2 0 18 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 140 60 0 17 Nov 2022
Revisiting Training-free NAS Metrics: An Efficient Training-based Method Taojiannan Yang Linjie Yang Xiaojie Jin Chong Chen 75 7 0 16 Nov 2022
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction Yun Yi Haokui Zhang Wenze Hu Nannan Wang Xiaoyu Wang AI4TS AI4CE 73 11 0 15 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning Udbhav Bamba Neeraj Anand Saksham Aggarwal Dilip K Prasad D. K. Gupta MQ 81 0 0 12 Nov 2022