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07/18/2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
For real-world language applications, detecting an out-of-distribution (...
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04/05/2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of ...
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02/13/2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
While pre-trained language models (PLMs) have become a de-facto standard...
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10/18/2022
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optic...
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10/05/2022
Contextualized Generative Retrieval
The text retrieval task is mainly performed in two ways: the bi-encoder ...
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05/31/2022
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography
Purpose: Develop a deep learning-based automated method to segment meibo...
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05/27/2022
Contrastive Siamese Network for Semi-supervised Speech Recognition
This paper introduces contrastive siamese (c-siam) network, an architect...
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05/06/2021
Reducing Streaming ASR Model Delay with Self Alignment
Reducing prediction delay for streaming end-to-end ASR models with minim...
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10/21/2020
Deep learning-based citation recommendation system for patents
In this study, we address the challenges in developing a deep learning-b...
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10/07/2020
Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition
In this paper we present a Transformer-Transducer model architecture and...
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09/07/2020
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
Git metadata contains rich information for developers to understand the ...
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10/23/2019
End-to-End Multi-Task Denoising for the Joint Optimization of Perceptual Speech Metrics
Although supervised learning based on a deep neural network has recently...
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10/13/2019
T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement
Transformer neural networks (TNN) demonstrated state-of-art performance ...
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10/13/2019
Transformer with Gaussian weighted self-attention for speech enhancement
The Transformer architecture recently replaced recurrent neural networks...
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01/26/2019
End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization
Supervised learning based on a deep neural network recently has achieved...
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08/12/2018
Text classification using capsules
This paper presents an empirical exploration of the use of capsule netwo...
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10/27/2017
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition
Despite the remarkable progress achieved on automatic speech recognition...
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01/10/2017
