SMASH: One-Shot Model Architecture Search through HyperNetworks

17 August 2017

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

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Title
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian Dalca 104 40 0 30 Mar 2022
Controllable Dynamic Multi-Task Architectures Dripta S. Raychaudhuri Yumin Suh S. Schulter Xiang Yu M. Faraki Amit K. Roy-Chowdhury Manmohan Chandraker 82 33 0 28 Mar 2022
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
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 106 46 0 28 Mar 2022
Towards Device Efficient Conditional Image Generation Nisarg A. Shah Gaurav Bharaj 99 3 0 19 Mar 2022
DATA: Domain-Aware and Task-Aware Self-supervised Learning Qing Chang Junran Peng Lingxi Xie Jiajun Sun Hao Yin Qi Tian Zhaoxiang Zhang 75 8 0 17 Mar 2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications Viet-Khoa Vo-Ho Kashu Yamazaki Hieu T. Hoang Minh-Triet Tran Ngan Le 48 4 0 16 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 91 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 131 25 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 90 16 0 23 Feb 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian Dalca M. Sabuncu 93 9 0 22 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 77 7 0 07 Feb 2022
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving Geunseob Oh H. Peng 58 14 0 24 Jan 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 113 92 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 86 24 0 20 Jan 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet Cheng-Fang Peng Andriy Myronenko Ali Hatamizadeh V. Nath M. R. Siddiquee Yufan He Daguang Xu Ramalingam Chellappa Dong Yang SSeg 60 24 0 20 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling Yunjie Tian Lingxi Xie Jiemin Fang Jianbin Jiao QiXiang Ye Qi Tian 86 0 0 05 Dec 2021
Data-Free Neural Architecture Search via Recursive Label Calibration Zechun Liu Zhiqiang Shen Yun Long Eric P. Xing Kwang-Ting Cheng Chas Leichner 43 7 0 03 Dec 2021
Searching the Search Space of Vision Transformer Minghao Chen Kan Wu Bolin Ni Houwen Peng Bei Liu Jianlong Fu Hongyang Chao Haibin Ling ViT 95 53 0 29 Nov 2021
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention Huaijin Pi Huiyu Wang Yingwei Li Zizhang Li Alan Yuille ViT 81 3 0 15 Nov 2021
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 67 3 0 13 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 167 103 0 11 Nov 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework Bo Lyu S. Wen 114 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 124 127 0 01 Nov 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 119 83 0 25 Oct 2021
BINAS: Bilinear Interpretable Neural Architecture Search Niv Nayman Y. Aflalo M. Trosset Rong Jin Lihi Zelnik-Manor 70 2 0 24 Oct 2021
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions Vinod Ganesan Gowtham Ramesh Pratyush Kumar 65 9 0 10 Oct 2021
Meta Internal Learning Raphael Bensadoun Shir Gur Tomer Galanti Lior Wolf GAN 103 8 0 06 Oct 2021
Max and Coincidence Neurons in Neural Networks Albert Lee Kang L. Wang 16 1 0 04 Oct 2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers Changlin Li Guangrun Wang Bing Wang Xiaodan Liang Zhihui Li Xiaojun Chang 96 9 0 21 Sep 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 74 56 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 67 6 0 29 Aug 2021
Analyzing and Mitigating Interference in Neural Architecture Search Jin Xu Xu Tan Kaitao Song Renqian Luo Yichong Leng Tao Qin Tie-Yan Liu Jian Li MoMe 91 29 0 29 Aug 2021
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics Wuyang Chen Xinyu Gong Junru Wu Yunchao Wei Humphrey Shi Zhicheng Yan Yi Yang Zhangyang Wang 78 10 0 26 Aug 2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization Huiqun Wang Ruijie Yang Di Huang Yunhong Wang 61 27 0 25 Aug 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift Jiefeng Peng Jiqi Zhang Changlin Li Guangrun Wang Xiaodan Liang Liang Lin AAML OOD 74 17 0 22 Aug 2021
Trends in Neural Architecture Search: Towards the Acceleration of Search Youngkee Kim Won Joon Yun Youn Kyu Lee Soyi Jung Joongheon Kim 23 5 0 19 Aug 2021
Single-DARTS: Towards Stable Architecture Search Pengfei Hou Ying Jin Yukang Chen 51 7 0 18 Aug 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation Shangshang Yang Ye Tian Xiaoshu Xiang Shichen Peng Xing-yi Zhang 58 22 0 10 Aug 2021
Rethinking Architecture Selection in Differentiable NAS Ruochen Wang Minhao Cheng Xiangning Chen Xiaocheng Tang Cho-Jui Hsieh 93 178 0 10 Aug 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models Yichun Yin Cheng Chen Lifeng Shang Xin Jiang Xiao Chen Qun Liu VLM 69 50 0 29 Jul 2021
Core-set Sampling for Efficient Neural Architecture Search Jaewoong Shim Kyeongbo Kong Suk-Ju Kang 176 24 0 08 Jul 2021
Integrating Large Circular Kernels into CNNs through Neural Architecture Search Kun He Chao Li Yixiao Yang Gao Huang John E. Hopcroft 100 10 0 06 Jul 2021
AutoFormer: Searching Transformers for Visual Recognition Minghao Chen Houwen Peng Jianlong Fu Haibin Ling ViT 104 268 0 01 Jul 2021
LV-BERT: Exploiting Layer Variety for BERT Weihao Yu Zihang Jiang Fei Chen Qibin Hou Jiashi Feng MQ 51 0 0 22 Jun 2021
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components Unai Garciarena Roberto Santana A. Mendiburu 41 3 0 16 Jun 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks Shai Keynan Elad Sarafian Sarit Kraus OffRL 97 30 0 12 Jun 2021
Event Classification with Multi-step Machine Learning M. Saito T. Kishimoto Yuya Kaneta Taichi Itoh Yoshiaki Umeda J. Tanaka Y. Iiyama R. Sawada K. Terashi 21 1 0 04 Jun 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 66 17 0 31 May 2021