Fetching the paper…
Reading the bibliography…
Neural architecture search (NAS) and network pruning are widely studied efficient AI techniques, but not yet perfect.
Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron C. Courville · 2013
Earlier work this paper cites.
Learning both weights and connections for efficient neural network
Song Han, Jeff Pool, et al · 2015
Earlier work this paper cites.
Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
Song Han, Huizi Mao, et al · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, et al · 2016
Earlier work this paper cites.
Network trimming: A data-driven neuron pruning approach towards efficient deep architectures
Hengyuan Hu, Rui Peng, et al · 2016
Earlier work this paper cites.
Channel pruning for accelerating very deep neural networks
Yihui He, Xiangyu Zhang, and Jian Sun · 2017
Earlier work this paper cites.
Learning efficient convolutional networks through network slimming
Zhuang Liu, Jianguo Li, et al · 2017
Earlier work this paper cites.
Thinet: A filter level pruning method for deep neural network compression
Jian-Hao Luo, Jianxin Wu, et al · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, et al · 2017
Earlier work this paper cites.
Neural architecture search with reinforcement learning
Barret Zoph and Quoc V. Le · 2017
Earlier work this paper cites.
Amc: Automl for model compression and acceleration on mobile devices
Yihui He, Ji Lin, et al · 2018
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Cited alongside, same era.
Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
Cited alongside, same era.
Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content
Demetris Marnerides, Thomas Bashford-Rogers, et al · 2018
Cited alongside, same era.
Searching for activation functions
Prajit Ramachandran, Barret Zoph, and Quoc Le · 2018
Cited alongside, same era.
Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, et al · 2018
Cited alongside, same era.
Structadmm: A systematic, high-efficiency framework of structured weight pruning for dnns
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Later among the works it cites.
Mnasnet: Platform-aware neural architecture search for mobile
Mingxing Tan, Bo Chen, et al · 2019
Later among the works it cites.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
Bichen Wu, Xiaoliang Dai, et al · 2019
Later among the works it cites.
Dmcp: Differentiable markov channel pruning for neural networks
Shaopeng Guo, Yujie Wang, et al · 2020
Later among the works it cites.
Gan compression: Efficient architectures for interactive conditional gans
Muyang Li, Ji Lin, et al · 2020
Later among the works it cites.
Repvgg: Making vgg-style convnets great again
Xiaohan Ding, Xiangyu Zhang, et al · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Tianyun Zhang, Shaokai Ye, et al · 2018
Cited alongside, same era.
Systematic weight pruning of dnns using alternating direction method of multipliers
Tianyun Zhang, Shaokai Ye, et al · 2018
Cited alongside, same era.
Practical block-wise neural network architecture generation
Zhao Zhong, Junjie Yan, et al · 2018
Cited alongside, same era.
Yolact: Real-time instance segmentation
Daniel Bolya, Chong Zhou, et al · 2019
Cited alongside, same era.
Compressing convolutional neural networks via factorized convolutional filters
Tuanhui Li, Baoyuan Wu, et al · 2019
Cited alongside, same era.
Metapruning: Meta learning for automatic neural network channel pruning
Zechun Liu, Haoyuan Mu, et al · 2019
Cited alongside, same era.
Gdp: Stabilized neural network pruning via gates with differentiable polarization
Yi Guo, Huan Yuan, et al · 2021
Later among the works it cites.
Teachers do more than teach: Compressing image-to-image models
Qing Jin, Jian Ren, et al · 2021
Later among the works it cites.
Bcnet: Searching for network width with bilaterally coupled network
Xiu Su, Shan You, et al · 2021
Later among the works it cites.
Dais: Automatic channel pruning via differentiable annealing indicator search
Yushuo Guan, Ning Liu, et al · 2022
Closest in time.