Tensorizing Neural Networks

22 September 2015

Dmitry Vetrov

Papers citing "Tensorizing Neural Networks"

50 / 149 papers shown

Title
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 34 119 0 07 Jul 2021
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 29 20 0 17 Jun 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 42 16 0 15 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 19 11 0 11 May 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 26 8 0 11 May 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 36 656 0 07 May 2021
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks J. Fuhg M. Marino N. Bouklas 31 59 0 07 May 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 21 38 0 26 Apr 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification Konstantinos Makantasis Alexandros Georgogiannis A. Voulodimos Ioannis Georgoulas Anastasios Doulamis N. Doulamis 26 21 0 11 Apr 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 50 102 0 25 Jan 2021
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data M. N. D. Costa R. Attux A. Cichocki J. Romano 17 3 0 22 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Cross-Layer Distillation with Semantic Calibration Defang Chen Jian-Ping Mei Yuan Zhang Can Wang Yan Feng Chun-Yen Chen FedML 45 287 0 06 Dec 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 23 30 0 29 Oct 2020
Tensor Train Random Projection Yani Feng Keju Tang Lianxing He Pingqiang Zhou Qifeng Liao 18 3 0 21 Oct 2020
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration Yuchen Zhou Anru R. Zhang Lili Zheng Yazhen Wang 26 22 0 06 Oct 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 28 3 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 69 0 02 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 27 128 0 12 Aug 2020
Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems Donsub Rim Luca Venturi Joan Bruna Benjamin Peherstorfer 28 9 0 28 Jul 2020
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models Haolin Chen Luis Rademacher 29 3 0 16 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 41 27 0 13 Jul 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Tensor decomposition to Compress Convolutional Layers in Deep Learning Yinan Wang W. Guo Xiaowei Yue 6 15 0 28 May 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Jiahao Su Wonmin Byeon Jean Kossaifi Furong Huang Jan Kautz Anima Anandkumar AI4TS 19 119 0 21 Feb 2020
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network Jun Qi Hu Hu Yannan Wang Chao-Han Huck Yang Sabato Marco Siniscalchi Chin-Hui Lee 3DV 6 21 0 03 Feb 2020
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms G. Cerutti Rahul Prasad Alessio Brutti Elisabetta Farella 21 47 0 29 Jan 2020
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach A. Haliassos Kriton Konstantinidis Danilo P. Mandic 29 1 0 27 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 34 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors M. Alex O. Vasilescu E. Kim CoGe CVBM 23 12 0 11 Nov 2019
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F) A. Drew A. Heinecke 20 0 0 05 Nov 2019
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan Oseledets Zheng-Wei Zhang AAML 29 25 0 29 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems A. B. Zaki J. Huang Kaishun Wu B. Elhalawany 22 15 0 12 Oct 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Recurrent Neural Networks: An Embedded Computing Perspective Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 43 81 0 23 Jul 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 30 123 0 08 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 18 14 0 01 Jul 2019
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm Tomasz M. Rutkowski M. Koculak M. S. Abe M. Otake-Matsuura 17 14 0 19 Jun 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 26 154 0 28 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 32 14 0 27 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng-Wei Zhang BDL 25 52 0 24 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos M. Pantic 22 67 0 04 Apr 2019
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms Mohsen Ghassemi Z. Shakeri Anand D. Sarwate W. Bajwa 22 16 0 22 Mar 2019