Simyung Chang | DeepAI

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∙ 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. ∙

∙ 08/31/2023

Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer

Streaming automatic speech recognition (ASR) models are restricted from ...

0 Kyuhong Shim, 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. ∙

∙ 11/30/2022

Quadapter: Adapter for GPT-2 Quantization

Transformer language models such as GPT-2 are difficult to quantize beca...

0 Minseop Park, 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

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. ∙

∙ 11/11/2021

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

While hand pose estimation is a critical component of most interactive e...

7 John Yang, et al. ∙

∙ 10/07/2021

Self-Evolutionary Optimization for Pareto Front Learning

Multi-task learning (MTL), which aims to improve performance by learning...

0 Simyung Chang, et al. ∙

∙ 06/25/2021

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

As edge devices become prevalent, deploying Deep Neural Networks (DNN) o...

0 Jangho Kim, et al. ∙

∙ 06/08/2021

Broadcasted Residual Learning for Efficient Keyword Spotting

Keyword spotting is an important research field because it plays a key r...

0 Byeonggeun Kim, et al. ∙

∙ 03/25/2021

SubSpectral Normalization for Neural Audio Data Processing

Convolutional Neural Networks are widely used in various machine learnin...

0 Simyung Chang, et al. ∙

∙ 03/25/2021

Prototype-based Personalized Pruning

Nowadays, as edge devices such as smartphones become prevalent, there ar...

0 Jangho Kim, et al. ∙

∙ 01/15/2019

URNet : User-Resizable Residual Networks with Conditional Gating Module

Convolutional Neural Networks are widely used to process spatial scenes,...

18 Simyung Chang, et al. ∙

∙ 11/29/2018

Image Translation to Mixed-Domain using Sym-Parameterized Generative Network

Recent advances in image-to-image translation have led to some ways to g...

4 Simyung Chang, et al. ∙

∙ 11/11/2018

Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning

We tackle the blackbox issue of deep neural networks in the settings of ...

6 John Yang, et al. ∙

∙ 12/07/2017

Broadcasting Convolutional Network

While convolutional neural networks (CNNs) are widely used for handling ...

0 Simyung Chang, et al. ∙

∙ 09/05/2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK

This paper proposes a novel deep reinforcement learning (RL) method inte...

0 Simyung Chang, et al. ∙

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