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01/03/2023
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment
Blind image quality assessment (BIQA) remains challenging due to the div...
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11/21/2022
Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport
Unsupervised domain adaptation is a challenging task that aims to estima...
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09/28/2021
Asynchronous Massive Access in Multi-cell Wireless Networks Using Reed-Muller Codes
Providing connectivity to a massive number of devices is a key challenge...
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06/08/2020
Semantic Graph-enhanced Visual Network for Zero-shot Learning
Zero-shot learning uses semantic attributes to connect the search space ...
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03/25/2020
Massive Access in Multi-cell Wireless Networks Using Reed-Muller Codes
Providing connectivity to a massive number of devices is a key challenge...
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10/14/2019
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods
Restricted Boltzmann Machine (RBM) is a generative stochastic neural net...
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05/10/2019
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation
Neural machine translation - using neural networks to translate human la...
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06/26/2017
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform
Large-scale datasets have played a significant role in progress of neura...
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08/21/2015