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08/08/2023
Quantization Aware Factorization for Deep Neural Network Compression
Tensor decomposition of convolutional and fully-connected layers is an e...
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06/16/2023
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Pedestrian Attribute Recognition (PAR) deals with the problem of identif...
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05/16/2023
Image Reconstruction using Superpixel Clustering and Tensor Completion
This paper presents a pixel selection method for compact image represent...
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05/08/2023
Adaptive Cross Tubal Tensor Approximation
In this paper, we propose a new adaptive cross algorithm for computing a...
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05/01/2023
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection
In this paper, we extend the Discrete Empirical Interpolation Method (DE...
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07/13/2022
Cross Tensor Approximation for Image and Video Completion
This paper proposes a general framework to use the cross tensor approxim...
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04/30/2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
We present a novel procedure for optimization based on the combination o...
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03/05/2022
How to Train Unstable Looped Tensor Network
A rising problem in the compression of Deep Neural Networks is how to re...
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06/03/2021
Machine learning models for DOTA 2 outcomes prediction
Prediction of the real-time multiplayer online battle arena (MOBA) games...
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08/12/2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Most state of the art deep neural networks are overparameterized and exh...
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06/16/2020
CNN Acceleration by Low-rank Approximation with Quantized Factors
The modern convolutional neural networks although achieve great results ...
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05/29/2020
Deep convolutional tensor network
Tensor networks are linear algebraic representations of quantum many-bod...
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01/20/2020
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD)
Big data analysis has become a crucial part of new emerging technologies...
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09/03/2018
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition
The Canonical Polyadic decomposition (CPD) is a convenient and intuitive...
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09/25/2017
Error Preserving Correction for CPD and Bounded-Norm CPD
In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in so...
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09/25/2017
