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
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David Clifton 142 106 0 12 Jun 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 66 1 0 22 May 2023
GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong Joonsang Yu Geondo Park Dongyoon Han Y. Yoo 78 4 0 15 May 2023
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks Wenxuan Pan Feifei Zhao Bing Han Yi Zeng 89 4 0 21 Apr 2023
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning Yang Liu Shen Yan Yuge Zhang Kan Ren Quan Zhang Zebin Ren Deng Cai Mi Zhang ViT 49 0 0 18 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian Dalca 59 0 0 11 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 79 19 0 07 Apr 2023
Large Language Model Instruction Following: A Survey of Progresses and Challenges Renze Lou Kai Zhang Wenpeng Yin ALM LRM 163 25 0 18 Mar 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He Jianfei Cai Jing Zhang Dacheng Tao Bohan Zhuang VPVLM 89 58 0 15 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 88 21 0 07 Mar 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems Haocheng Ju Haimiao Zhang Lin Li Xiao Li B. Dong BDL 82 3 0 07 Mar 2023
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
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 92 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 100 1 0 16 Feb 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 62 2 0 07 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 78 1 0 26 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
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
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks Bin Wang Bing Xue Mengjie Zhang 88 0 0 07 Dec 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
Revisiting Training-free NAS Metrics: An Efficient Training-based Method Taojiannan Yang Linjie Yang Xiaojie Jin Chong Chen 75 7 0 16 Nov 2022
Text2Model: Text-based Model Induction for Zero-shot Image Classification Ohad Amosy Tomer Volk Eilam Shapira Eyal Ben-David Roi Reichart Gal Chechik VLM 51 1 0 27 Oct 2022
$Λ$ -DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells Sajad Movahedi Melika Adabinejad Ayyoob Imani Arezou Keshavarz Mostafa Dehghani A. Shakery Babak N. Araabi 89 19 0 14 Oct 2022
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique Andrea Falanti Eugenio Lomurno Stefano Samele Danilo Ardagna Matteo Matteucci 52 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 77 1 0 03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 91 8 0 02 Oct 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization Zheqi Lv Wenqiao Zhang Shengyu Zhang Kun Kuang Feng Wang ... Zhengyu Chen Tao Shen Hongxia Yang Bengchin Ooi Leilei Gan 143 54 0 12 Sep 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 90 6 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 89 23 0 14 Aug 2022
HyperTime: Implicit Neural Representation for Time Series Elizabeth Fons Alejandro Sztrajman Yousef El-Laham Alexandros Iosifidis Svitlana Vyetrenko AI4TS 79 23 0 11 Aug 2022
Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search Yu Xue Jiafeng Qin 107 59 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 84 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 73 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 73 14 0 16 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks H. Mousavi Mohammad Loni Mina Alibeigi Masoud Daneshtalab 80 11 0 14 Jul 2022
FlowNAS: Neural Architecture Search for Optical Flow Estimation Zhiwei Lin Tingting Liang Taihong Xiao Yongtao Wang Zhi Tang Ming-Hsuan Yang 77 0 0 04 Jul 2022
Prompting Decision Transformer for Few-Shot Policy Generalization Mengdi Xu Songlin Yang Shun Zhang Yuchen Lu Ding Zhao J. Tenenbaum Chuang Gan OffRL 96 150 0 27 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity Łukasz Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 128 7 0 22 Jun 2022
Slimmable Domain Adaptation Rang Meng Weijie Chen Shicai Yang Mingli Song Luojun Lin Di Xie Shiliang Pu Xinchao Wang Mingli Song Yueting Zhuang 75 12 0 14 Jun 2022
Learning the Space of Deep Models G. Berardi Luca de Luigi Samuele Salti Luigi Di Stefano SSL 66 3 0 10 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 113 84 0 08 Jun 2022
Hyper-Learning for Gradient-Based Batch Size Adaptation Calum MacLellan Feng Dong 46 0 0 17 May 2022
Proxyless Neural Architecture Adaptation for Supervised Learning and Self-Supervised Learning Do-Guk Kim Heung-Chang Lee 37 0 0 15 May 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 72 1 0 12 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 83 183 0 09 May 2022
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
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
Does Interference Exist When Training a Once-For-All Network? Jordan Shipard Arnold Wiliem Clinton Fookes 36 0 0 20 Apr 2022
HyperDet3D: Learning a Scene-conditioned 3D Object Detector Yu Zheng Yueqi Duan Jiwen Lu Jie Zhou Qi Tian 3DPC 69 21 0 12 Apr 2022
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