Papers (Welcome to recommend papers, many hands make light work.)

Dynamic Filter Networks Jia X, De Brabandere B, Tuytelaars T, 2016
Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution Liu L, Deng J. 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Wang X, Yu F, Dou Z Y, 2017
Condconv: Conditionally parameterized convolutions for efficient inference Yang B, Bender G, Le Q V, 2019
Pay Less Attention with Lightweight and Dynamic Convolutions Wu F, Fan A, Baevski A, 2019
Dynamic convolution: Attention over convolution kernels Chen Y, Dai X, Liu M, 2020
WeightNet: Revisiting the Design Space of Weight Networks Ma N, Zhang X, Huang J, 2020
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks Zhang Y, Zhang J, Wang Q, 2020
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations Xu Y S, Tseng S Y R, Tseng Y, 2020
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language QueriesWang H, Deng C, Ma F, et al, 2020