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10/06/2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets
Certain datasets contain a limited number of samples with highly various...
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03/24/2021
Meta-Learned Invariant Risk Minimization
Empirical Risk Minimization (ERM) based machine learning algorithms have...
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01/21/2021
Distributed Compilation System for High-Speed Software Build Processes
The idle time of personal computers has increased steadily due to the ge...
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07/21/2020
Distributed Memory based Self-Supervised Differentiable Neural Computer
A differentiable neural computer (DNC) is a memory augmented neural netw...
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04/05/2020
Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System
Generating music with emotion similar to that of an input video is a ver...
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02/05/2020
Vocoder-free End-to-End Voice Conversion with Transformer Network
Mel-frequency filter bank (MFB) based approaches have the advantage of l...
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01/01/2020
Stacked DeBERT: All Attention in Incomplete Data for Text Classification
In this paper, we propose Stacked DeBERT, short for Stacked Denoising Bi...
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09/14/2019
Genetic Algorithm for More Efficient Multi-layer Thickness Optimization in Solar Cell
We propose to use Genetic Algorithm (GA), inspired by Darwin's evolution...
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09/14/2019
Employing Genetic Algorithm as an Efficient Alternative to Parameter Sweep Based Multi-Layer Thickness Optimization in Solar Cells
Conventional solar cells are predominately designed similar to a stacked...
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05/26/2018
Human Action Generation with Generative Adversarial Networks
Inspired by the recent advances in generative models, we introduce a hum...
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07/04/2016
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
In this work, we introduce temporal hierarchies to the sequence to seque...
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05/17/2016
