AttentiveNAS: Improving Neural Architecture Search via Attentive
Sampling

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AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

18 November 2020

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Papers citing "AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling"

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Title
Searching the Search Space of Vision Transformer Minghao Chen Kan Wu Bolin Ni Houwen Peng Bei Liu Jianlong Fu Hongyang Chao Haibin Ling ViT 90 53 0 29 Nov 2021
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions Vinod Ganesan Gowtham Ramesh Pratyush Kumar 63 9 0 10 Oct 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP Jihao Liu Hongsheng Li Guanglu Song Xin Huang Yu Liu ViT 104 36 0 08 Oct 2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training Bohong Chen Mingbao Lin Rongrong Ji Liujuan Cao 41 2 0 12 Sep 2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson P. Chuang Sam Daulton Peng Xia Akshat Shrivastava Arun Babu Shicong Zhao Ahmed Aly Ganesh Venkatesh Maximilian Balandat BDL 87 16 0 22 Jun 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment Manas Sahni S. Varshini Alind Khare Alexey Tumanov 51 33 0 26 Apr 2021
Conditional super-network weights Kevin Laube A. Zell 45 0 0 23 Apr 2021
Reconsidering CO2 emissions from Computer Vision André Fu Mahdi S. Hosseini Konstantinos N. Plataniotis 70 13 0 18 Apr 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 216 45 0 16 Feb 2021
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence Chengyue Gong Dilin Wang Qiang Liu FedML 65 43 0 23 Nov 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 114 16 0 10 Jun 2020