Learning Implicitly Recurrent CNNs Through Parameter Sharing

26 February 2019

Papers citing "Learning Implicitly Recurrent CNNs Through Parameter Sharing"

13 / 13 papers shown

Title
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 79 0 0 25 Nov 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 84 5 0 28 Oct 2024
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging Zitong S. Chen Chau Pham Siqi Wang Michael Doron Nikita Moshkov Bryan A. Plummer Juan C. Caicedo 30 11 0 30 Oct 2023
STen: Productive and Efficient Sparsity in PyTorch Andrei Ivanov Nikoli Dryden Tal Ben-Nun Saleh Ashkboos Torsten Hoefler 39 4 0 15 Apr 2023
Neural Network Architecture Beyond Width and Depth Zuowei Shen Haizhao Yang Shijun Zhang 3DV MDE 33 13 0 19 May 2022
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance Justin Sanchez Christopher Neff Hamed Tabkhi GNN 30 9 0 15 Jan 2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting Ling-Hao Chen Donghui Chen Zongjiang Shang Binqing Wu Cen Zheng Bo Wen Wei Zhang AI4TS AI4CE 26 64 0 13 Jan 2022
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network Sijin Kim Namhyuk Ahn Kyung-ah Sohn 31 7 0 30 Sep 2020
An Overview of Neural Network Compression James OÑeill AI4CE 47 98 0 05 Jun 2020
$Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning$ Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning Leslie Ching Ow Tiong Jeongrae Kim S. Han Donghun Kim 22 39 0 26 May 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015