Seunghan Yang | DeepAI

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Fatih Porikli
91 publications
Jaegul Choo
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Changick Kim
47 publications
Youngeun Kim
33 publications
Jiwon Kim
28 publications
Simyung Chang
21 publications
Sunghyun Park
21 publications
Jangho Kim
16 publications
Debasmit Das
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Sungrack Yun
12 publications
Kyuhong Shim
12 publications

∙ 08/31/2023

Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data

Few-shot keyword spotting (FS-KWS) models usually require large-scale an...

0 Seunghan Yang, et al. ∙

∙ 08/17/2023

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts

Test-time adaptation (TTA) aims to adapt a pre-trained model to the targ...

0 Sunghyun Park, et al. ∙

∙ 04/02/2023

Progressive Random Convolutions for Single Domain Generalization

Single domain generalization aims to train a generalizable model with on...

2 Seokeon Choi, et al. ∙

∙ 02/26/2023

Scalable Weight Reparametrization for Efficient Transfer Learning

This paper proposes a novel, efficient transfer learning method, called ...

0 Byeonggeun Kim, et al. ∙

∙ 07/24/2022

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

This paper proposes a novel test-time adaptation strategy that adjusts t...

0 Sungha Choi, et al. ∙

∙ 06/28/2022

QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design

This technical report describes the details of our TASK1A submission of ...

0 Byeonggeun Kim, et al. ∙

∙ 06/28/2022

Personalized Keyword Spotting through Multi-task Learning

Keyword spotting (KWS) plays an essential role in enabling speech-based ...

0 Seunghan Yang, et al. ∙

∙ 06/28/2022

Domain Agnostic Few-shot Learning for Speaker Verification

Deep learning models for verification systems often fail to generalize t...

10 Seunghan Yang, et al. ∙

∙ 06/28/2022

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting

Keyword spotting is the task of detecting a keyword in streaming audio. ...

0 Byeonggeun Kim, et al. ∙

∙ 06/24/2022

Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification

While using two-dimensional convolutional neural networks (2D-CNNs) in i...

0 Byeonggeun Kim, et al. ∙

∙ 11/24/2021

Distribution Estimation to Automate Transformation Policies for Self-Supervision

In recent visual self-supervision works, an imitated classification obje...

19 Seunghan Yang, et al. ∙

∙ 11/12/2021

Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization

It is a practical research topic how to deal with multi-device audio inp...

0 Byeonggeun Kim, et al. ∙

∙ 12/03/2020

Robust Federated Learning with Noisy Labels

Federated learning is a paradigm that enables local devices to jointly t...

1 Seunghan Yang, et al. ∙

∙ 10/06/2020

Arbitrary Style Transfer using Graph Instance Normalization

Style transfer is the image synthesis task, which applies a style of one...

0 Dongki Jung, et al. ∙

∙ 08/07/2020

Associative Partial Domain Adaptation

Partial Adaptation (PDA) addresses a practical scenario in which the tar...

0 Youngeun Kim, et al. ∙

∙ 05/16/2020

Partial Domain Adaptation Using Graph Convolutional Networks

Partial domain adaptation (PDA), in which we assume the target label spa...

0 Seunghan Yang, et al. ∙

∙ 10/12/2019

Combinational Class Activation Maps for Weakly Supervised Object Localization

Weakly supervised object localization has recently attracted attention s...

24 Seunghan Yang, et al. ∙

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