GOLD-NAS: Gradual, One-Level, Differentiable

7 July 2020

Papers citing "GOLD-NAS: Gradual, One-Level, Differentiable"

8 / 8 papers shown

Title
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Xuan Rao Bo Zhao Derong Liu Cesare Alippi 44 0 0 25 Apr 2025
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 32 12 0 14 Jan 2023
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 33 19 0 02 Jun 2022
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 39 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
SparseBERT: Rethinking the Importance Analysis in Self-attention Han Shi Jiahui Gao Xiaozhe Ren Hang Xu Xiaodan Liang Zhenguo Li James T. Kwok 23 54 0 25 Feb 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016