Efficient Neural Architecture Search via Parameter Sharing

9 February 2018

Papers citing "Efficient Neural Architecture Search via Parameter Sharing"

50 / 559 papers shown

Title
Robust Neural Architecture Search Xunyu Zhu Jian Li Yong-Jin Liu Weiping Wang AAML 26 2 0 06 Apr 2023
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation Zhuoran Xiong Marihan Amein O. Therrien W. Gross B. Meyer 22 0 0 28 Mar 2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms Shikhar Tuli N. Jha 36 3 0 24 Mar 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
FTSO: Effective NAS via First Topology Second Operator Likang Wang Lei Chen 33 9 0 28 Feb 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 36 102 0 27 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 37 10 0 20 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 33 16 0 17 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 39 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 67 353 0 13 Feb 2023
Operation-level Progressive Differentiable Architecture Search Xunyu Zhu Jian Li Yong Liu Weiping Wang 32 6 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 30 27 0 09 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 38 16 0 06 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 44 2 0 26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients Guihong Li Yuedong Yang Kartikeya Bhardwaj R. Marculescu 38 61 0 26 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 31 27 0 24 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 36 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 35 7 0 17 Jan 2023
Improving Reliability of Fine-tuning with Block-wise Optimisation Basel Barakat Qiang Huang 21 1 0 15 Jan 2023
StitchNet: Composing Neural Networks from Pre-Trained Fragments Surat Teerapittayanon Marcus Z. Comiter Bradley McDanel H. T. Kung 23 1 0 05 Jan 2023
OVO: One-shot Vision Transformer Search with Online distillation Zimian Wei H. Pan Xin-Yi Niu Dongsheng Li ViT 34 1 0 28 Dec 2022
DAS: Neural Architecture Search via Distinguishing Activation Score Yuqiao Liu Haipeng Li Yanan Sun Shuaicheng Liu 36 1 0 23 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 32 0 0 19 Dec 2022
A Study on the Intersection of GPU Utilization and CNN Inference J. Kosaian Amar Phanishayee 25 3 0 15 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 32 2 0 10 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 36 16 0 07 Dec 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 21 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 21 9 0 23 Nov 2022
HiveNAS: Neural Architecture Search using Artificial Bee Colony Optimization M. Shahawy E. Benkhelifa 21 1 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 37 60 0 17 Nov 2022
Revisiting Training-free NAS Metrics: An Efficient Training-based Method Taojiannan Yang Linjie Yang Xiaojie Jin Chong Chen 21 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 32 8 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 26 0 0 12 Nov 2022
Development of a Neural Network-Based Mathematical Operation Protocol for Embedded Hexadecimal Digits Using Neural Architecture Search (NAS) Victor Robila Kexin Pei Junfeng Yang 21 0 0 12 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 77 4 0 11 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 35 1 0 08 Nov 2022
Federated Hypergradient Descent A. K. Kan FedML 42 3 0 03 Nov 2022
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 26 5 0 02 Nov 2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework Liuchun Yuan Zehao Huang Naiyan Wang 29 0 0 26 Oct 2022
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks Huihong Shi Haoran You Yang Katie Zhao Zhongfeng Wang Yingyan Lin 67 7 0 24 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 36 249 0 17 Oct 2022
HQNAS: Auto CNN deployment framework for joint quantization and architecture search Hongjiang Chen Yang Wang Leibo Liu Shaojun Wei Shouyi Yin MQ 11 2 0 16 Oct 2022
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo Yaofo Chen Yin Zheng Qi Chen P. Zhao Jian Chen Junzhou Huang Mingkui Tan 30 5 0 14 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Mohamed Bennai AAML 46 5 0 11 Oct 2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu Zhaoqi Leng Peigen Sun Shuyang Cheng C. Qi Yin Zhou Mingxing Tan Drago Anguelov 3DPC 3DV 37 5 0 10 Oct 2022
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 40 11 0 07 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 33 28 0 05 Oct 2022
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation Yi-Chun Wang J. Hsieh Ming-Ching Chang 29 1 0 03 Oct 2022