LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification

Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen

Type: Preprint

Publication Date: 2021-01-06

Citations: 0

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification	2021	Debesh Jha Anis Yazidi Michael A. Riegler Dag Johansen Håvard D. Johansen Pål Halvorsen
+ PDF Chat	LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification	2021	Debesh Jha Anis Yazidi Michael A. Riegler Dag Johansen Håvard D. Johansen Pål Halvorsen
+ PDF Chat	ThriftyNets: Convolutional Neural Networks with Tiny Parameter Budget	2021	Guillaume Coiffier Ghouthi Boukli Hacene Vincent Gripon
+	ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget	2020	Guillaume Coiffier Ghouthi Boukli Hacene Vincent Gripon
+	ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget	2020	Guillaume Coiffier Ghouthi Boukli Hacene Vincent Gripon
+	Deep Fried Convnets	2014	Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang
+	Deep Fried Convnets	2014	Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang
+	Greenformer: Factorization Toolkit for Efficient Deep Neural Networks	2021	Samuel Cahyawijaya Genta Indra Winata Holy Lovenia Bryan Wilie Wenliang Dai Etsuko Ishii Pascale Fung
+	Greenformer: Factorization Toolkit for Efficient Deep Neural Networks	2021	Samuel Cahyawijaya Genta Indra Winata Holy Lovenia Bryan Wilie Wenliang Dai Etsuko Ishii Pascale Fung
+	Chainer: A Deep Learning Framework for Accelerating the Research Cycle	2019	Seiya Tokui Ryosuke Okuta Takuya Akiba Yusuke Niitani Toru Ogawa Shunta Saito Shuji Suzuki Kota Uenishi Brian Vogel Hiroyuki Yamazaki Vincent
+	Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models	2022	Sabeesh Ethiraj Bharath Kumar Bolla
+	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung‐Hsiang Lu George K. Thiruvathukal
+	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal
+ PDF Chat	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal
+	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang
+	A Pre-defined Sparse Kernel Based Convolution for Deep CNNs	2019	Souvik Kundu Saurav Prakash Haleh Akrami Peter A. Beerel K.M. Chugg
+ PDF Chat	Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations	2024	Yiyuan Zhang Xiaohan Ding Xiangyu Yue
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell
+	Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing	2022	Alireza Azadbakht Saeed Reza Kheradpisheh Ismail Khalfaoui-Hassani Timothée Masquelier

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (15)

Action	Title	Year	Authors
+	Tensor-Train Decomposition	2011	Ivan Oseledets
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello
+	Ultimate tensorization: compressing convolutional and FC layers alike.	2016	Timur Garipov Dmitry Podoprikhin Alexander Novikov Dmitry Vetrov
+	Diversity Networks: Neural Network Compression Using Determinantal Point Processes	2015	Zelda Mariet Suvrit Sra
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf
+ PDF Chat	BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation	2018	Changqian Yu Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang
+	ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions	2018	Chai Wah Wu
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin
+ PDF Chat	Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation	2019	Yu Wang Quan Zhou Jia Liu Jian Xiong Guangwei Gao Xiaofu Wu Longin Jan Latecki