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Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 392 papers shown

Title
Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation Shaojie Li Mingbao Lin Yan Wang Yong Li Ling Shao Rongrong Ji 88 33 0 17 Nov 2020
Improving Neural Network Training in Low Dimensional Random Bases Frithjof Gressmann Zach Eaton-Rosen Carlo Luschi 78 28 0 09 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 76 131 0 31 Oct 2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks Julieta Martinez Jashan Shewakramani Ting Liu Ioan Andrei Bârsan Wenyuan Zeng R. Urtasun MQ 96 31 0 29 Oct 2020
Neuron Merging: Compensating for Pruned Neurons Woojeong Kim Suhyun Kim Mincheol Park Geonseok Jeon 74 33 0 25 Oct 2020
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 106 19 0 19 Oct 2020
A Fully Tensorized Recurrent Neural Network Charles C. Onu Jacob Miller Doina Precup MQ 76 6 0 08 Oct 2020
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset David Azcona Kevin McGuinness Alan F. Smeaton MedIm 46 26 0 05 Oct 2020
Which *BERT? A Survey Organizing Contextualized Encoders Patrick Xia Shijie Wu Benjamin Van Durme 62 50 0 02 Oct 2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 109 281 0 30 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan Oseledets A. Cichocki BDL 88 131 0 12 Aug 2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice Nir Ailon Omer Leibovitch Vineet Nair 72 15 0 17 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 123 27 0 13 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 48 18 0 02 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 114 85 0 02 Jul 2020
Hybrid Tensor Decomposition in Neural Network Compression Bijiao Wu Dingheng Wang Guangshe Zhao Lei Deng Guoqi Li 76 47 0 29 Jun 2020
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization Yuan Wen David Gregg MQ 40 3 0 22 Jun 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis Stefanos Zafeiriou 91 94 0 20 Jun 2020
MARS: Masked Automatic Ranks Selection in Tensor Decompositions M. Kodryan D. Kropotov Dmitry Vetrov 64 9 0 18 Jun 2020
Infinite Feature Selection: A Graph-based Feature Filtering Approach Giorgio Roffo Simone Melzi U. Castellani Alessandro Vinciarelli Marco Cristani 63 112 0 15 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 33 5 0 08 Jun 2020
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting K. Chung Yu-Lun Chang Bo-Wei Tsai 29 0 0 08 Jun 2020
Weight Pruning via Adaptive Sparsity Loss George Retsinas Athena Elafrou G. Goumas Petros Maragos 64 10 0 04 Jun 2020
Premium Access to Convolutional Neural Networks Julien Bringer H. Chabanne Linda Guiga HAI 46 0 0 22 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 55 64 0 14 May 2020
Compact Neural Representation Using Attentive Network Pruning Mahdi Biparva John K. Tsotsos CVBM 20 1 0 10 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 71 52 0 08 May 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture Christopher Brix Parnia Bahar Hermann Ney 61 38 0 04 May 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 83 55 0 21 Apr 2020
Neural network compression via learnable wavelet transforms Moritz Wolter Shaohui Lin Angela Yao 40 1 0 20 Apr 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 188 904 0 06 Apr 2020
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) Arturo Marbán Daniel Becking Simon Wiedemann Wojciech Samek MQ 51 12 0 02 Apr 2020
Dataless Model Selection with the Deep Frame Potential Calvin Murdock Simon Lucey 87 6 0 30 Mar 2020
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference Tai Vu Emily Wen Roy Nehoran 21 5 0 30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 69 136 0 30 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
$Π-$ nets: Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Yannis Panagakis Jiankang Deng Stefanos Zafeiriou 90 61 0 08 Mar 2020
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network Yuxin Zhang Zuquan Zheng Roland Hu 49 10 0 07 Mar 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets Thu Dinh Bao Wang Andrea L. Bertozzi Stanley J. Osher AAML 36 17 0 02 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 122 730 0 24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 99 335 0 22 Feb 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Canwen Xu Wangchunshu Zhou Tao Ge Furu Wei Ming Zhou 351 201 0 07 Feb 2020
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms G. Cerutti Rahul Prasad Alessio Brutti Elisabetta Farella 38 47 0 29 Jan 2020
MSE-Optimal Neural Network Initialization via Layer Fusion Ramina Ghods Andrew Lan Tom Goldstein Christoph Studer FedML 30 1 0 28 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 54 22 0 23 Jan 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 138 439 0 20 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 64 52 0 14 Jan 2020
Quantisation and Pruning for Neural Network Compression and Regularisation Kimessha Paupamah Steven D. James Richard Klein 38 23 0 14 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 88 51 0 07 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 57 13 0 02 Jan 2020