└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Papers (Welcome to recommend papers, many hands make light work.) 2 | [Dynamic Filter Networks](http://papers.nips.cc/paper/6578-dynamic-filter-networks.pdf) Jia X, De Brabandere B, Tuytelaars T, 2016
3 | [Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution](https://arxiv.org/pdf/1701.00299.pdf) Liu L, Deng J. 2017
4 | [SkipNet: Learning Dynamic Routing in Convolutional Networks](https://arxiv.org/pdf/1711.09485.pdf) Wang X, Yu F, Dou Z Y, 2017
5 | [Condconv: Conditionally parameterized convolutions for efficient inference](http://papers.nips.cc/paper/8412-condconv-conditionally-parameterized-convolutions-for-efficient-inference.pdf) Yang B, Bender G, Le Q V, 2019
6 | [Pay Less Attention with Lightweight and Dynamic Convolutions](https://arxiv.org/pdf/1901.10430.pdf) Wu F, Fan A, Baevski A, 2019
7 | [Dynamic convolution: Attention over convolution kernels](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Dynamic_Convolution_Attention_Over_Convolution_Kernels_CVPR_2020_paper.pdf) Chen Y, Dai X, Liu M, 2020
8 | [WeightNet: Revisiting the Design Space of Weight Networks](https://arxiv.org/pdf/2007.11823) Ma N, Zhang X, Huang J, 2020
9 | [DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks](http://de.arxiv.org/pdf/2004.10694.pdf) Zhang Y, Zhang J, Wang Q, 2020
10 | [Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations](https://arxiv.org/pdf/2004.06965.pdf) Xu Y S, Tseng S Y R, Tseng Y, 2020
11 | [Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries](https://aaai.org/ojs/index.php/AAAI/article/view/6895)Wang H, Deng C, Ma F, et al, 2020
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