Simyung Chang

According to our database, Simyung Chang authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Feature Diversification and Adaptation for Federated Domain Generalization.

Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun

CoRR, 2024

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference.

Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Seunghan Yang, Byeonggeun Kim, Kyuhong Shim, Simyung Chang

CoRR, 2023

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

Kyuhong Shim, Jinkyu Lee, Simyung Chang, Kyuwoong Hwang

CoRR, 2023

Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition.

Byeonggeun Kim, Jun-Tae Lee, Kyuhong Shim, Simyung Chang

Proceedings of the IEEE International Conference on Image Processing, 2023

Scalable Weight Reparametrization for Efficient Transfer Learning.

Byeonggeun Kim, Jun-Tae Lee, Seunghan Yang, Simyung Chang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang

CoRR, 2022

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation.

John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Personalized Keyword Spotting through Multi-task Learning.

Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Variational On-the-Fly Personalization.

Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak

Proceedings of the International Conference on Machine Learning, 2022

Quadapter: Adapter for GPT-2 Quantization.

Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks.

Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distribution Estimation to Automate Transformation Policies for Self-Supervision.

Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli

CoRR, 2021

Self-Evolutionary Optimization for Pareto Front Learning.

Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak

CoRR, 2021

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

Jangho Kim, Simyung Chang, Nojun Kwak

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Broadcasted Residual Learning for Efficient Keyword Spotting.

Byeonggeun Kim, Simyung Chang, Jinkyu Lee, Dooyong Sung

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Prototype-Based Personalized Pruning.

Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak

Proceedings of the IEEE International Conference on Acoustics, 2021

Subspectral Normalization for Neural Audio Data Processing.

Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang

Proceedings of the IEEE International Conference on Acoustics, 2021

Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization.

Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck.

Simyung Chang, Keuntek Lee, Shobhit Jain, Cheul-Hee Hahm

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

URNet: User-Resizable Residual Networks with Conditional Gating Module.

Sang-Ho Lee, Simyung Chang, Nojun Kwak

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Genetic-Gated Networks for Deep Reinforcement.

Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak

CoRR, 2019

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning.

Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation.

Simyung Chang, Seonguk Park, John Yang, Nojun Kwak

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

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

Simyung Chang, Seonguk Park, John Yang, Nojun Kwak

CoRR, 2018

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

John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak

CoRR, 2018

Genetic-Gated Networks for Deep Reinforcement Learning.

Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Broadcasting Convolutional Network for Visual Relational Reasoning.

Simyung Chang, John Yang, Seonguk Park, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Broadcasting Convolutional Network.

Simyung Chang, John Yang, Seonguk Park, Nojun Kwak

CoRR, 2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK.

Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak

CoRR, 2017