SMASH: One-Shot Model Architecture Search through HyperNetworks

17 August 2017

Papers citing "SMASH: One-Shot Model Architecture Search through HyperNetworks"

50 / 129 papers shown

Title
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 139 0 0 31 Mar 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation Emil Njor Colby R. Banbury Xenofon Fafoutis 69 0 0 18 Feb 2025
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth Juan Zou Weiwei Jiang Yizhang Xia Yuan Liu Zhanglu Hou 23 0 0 05 Mar 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 22 73 0 13 Dec 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification Kuan-Yu Chen Cheng Li Kuo-Jung Lee 28 1 0 12 Jul 2023
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search Bhavna Gopal Arjun Sridhar Tunhou Zhang Yiran Chen 16 3 0 06 Jul 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 11 1 0 22 May 2023
GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong Joonsang Yu Geondo Park Dongyoon Han Y. Yoo 30 4 0 15 May 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 16 17 0 07 Apr 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 29 17 0 07 Mar 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 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 20 1 0 16 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 9 1 0 26 Jan 2023
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks Bin Wang Bing Xue Mengjie Zhang 18 0 0 07 Dec 2022
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 Yi-Chun Wang J. Hsieh Ming-Ching Chang 21 1 0 03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 20 8 0 02 Oct 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 31 5 0 23 Aug 2022
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation Zhichao Lu Ran Cheng Shihua Huang Haotong Zhang Changxiao Qiu Fan Yang SSeg 22 22 0 14 Aug 2022
Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search Yu Xue Jiafeng Qin 27 55 0 01 Aug 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution Yushu Wu Yifan Gong Pu Zhao Yanyu Li Zheng Zhan Wei Niu Hao Tang Minghai Qin Bin Ren Yanzhi Wang SupR MQ 27 23 0 25 Jul 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture Jianwei Zhang Dong Li Lituan Wang Lei Zhang 20 2 0 21 Jul 2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS Zixuan Zhou Xuefei Ning Y. Cai Jiashu Han Yiping Deng Yuhan Dong Huazhong Yang Yu Wang 3DPC 25 12 0 16 Jul 2022
Slimmable Domain Adaptation Rang Meng Weijie Chen Shicai Yang Jie Song Luojun Lin Di Xie Shiliang Pu Xinchao Wang Mingli Song Yueting Zhuang 26 12 0 14 Jun 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 22 1 0 12 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie M. Zhang Song Guo Wenchao Xu FedML 22 170 0 09 May 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search Guocheng Qian Xuanyang Zhang G. Li Chen Zhao Yukang Chen X. Zhang Bernard Ghanem Jian-jun Sun 39 4 0 11 Apr 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian V. Dalca 28 38 0 30 Mar 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 26 46 0 28 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 28 5 0 10 Mar 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis Raghavendra Selvan N. Bhagwat Lasse F. Wolff Anthony Benjamin Kanding Erik Dam 36 24 0 04 Mar 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 13 15 0 23 Feb 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian V. Dalca M. Sabuncu 38 8 0 22 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 27 7 0 07 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 21 88 0 23 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 35 24 0 20 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention Huaijin Pi Huiyu Wang Yingwei Li Zizhang Li Alan Yuille ViT 21 3 0 15 Nov 2021
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 27 3 0 13 Nov 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework Bo Lyu S. Wen 15 2 0 06 Nov 2021
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices Guanghua Yu Qinyao Chang Wenyu Lv Chang Xu Cheng Cui ... Baohua Lai Qiwen Liu Xiaoguang Hu Dianhai Yu Yanjun Ma ObjD 24 119 0 01 Nov 2021
Meta Internal Learning Raphael Bensadoun Shir Gur Tomer Galanti Lior Wolf GAN 23 8 0 06 Oct 2021
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search Lianbo Ma Nan Li Guo-Ding Yu Xiao Geng Min Huang Xingwei Wang 27 53 0 14 Sep 2021
Differentiable Convolution Search for Point Cloud Processing Xing Nie Yongcheng Liu Shaohong Chen Jianlong Chang Chunlei Huo Gaofeng Meng Qi Tian Weiming Hu Chunhong Pan 3DPC 37 6 0 29 Aug 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization Huiqun Wang Ruijie Yang Di Huang Yunhong Wang 16 27 0 25 Aug 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation Shangshang Yang Ye Tian Xiaoshu Xiang Shichen Peng Xing-yi Zhang 23 20 0 10 Aug 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 21 172 0 10 Aug 2021
AutoFormer: Searching Transformers for Visual Recognition Minghao Chen Houwen Peng Jianlong Fu Haibin Ling ViT 36 259 0 01 Jul 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 27 17 0 31 May 2021