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2020 – today
- 2024
[c22]Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang:
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. ACL (1) 2024: 3720-3731- [i24]Jihwan Bang, Juntae Lee, Kyuhong Shim
, Seunghan Yang, Simyung Chang:
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. CoRR abs/2406.07007 (2024) - [i23]Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. CoRR abs/2407.08245 (2024) - 2023
- [c21]Byeonggeun Kim, Jun-Tae Lee, Seunghan Yang, Simyung Chang:
Scalable Weight Reparametrization for Efficient Transfer Learning. ICASSP 2023: 1-5 - [c20]Byeonggeun Kim, Jun-Tae Lee, Kyuhong Shim, Simyung Chang:
Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition. ICIP 2023: 31-35 - [i22]Byeonggeun Kim, Jun-Tae Lee, Seunghan Yang, Simyung Chang:
Scalable Weight Reparametrization for Efficient Transfer Learning. CoRR abs/2302.13435 (2023) - [i21]Kyuhong Shim, Jinkyu Lee, Simyung Chang, Kyuwoong Hwang:
Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer. CoRR abs/2308.16415 (2023) - [i20]Seunghan Yang, Byeonggeun Kim, Kyuhong Shim, Simyung Chang:
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. CoRR abs/2309.00647 (2023) - 2022
- [c19]Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang:
Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. AAAI 2022: 7354-7362 - [c18]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) 2022: 2510-2517 - [c17]Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak:
Variational On-the-Fly Personalization. ICML 2022: 11134-11147 - [c16]Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang:
Personalized Keyword Spotting through Multi-task Learning. INTERSPEECH 2022: 1881-1885 - [c15]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. INTERSPEECH 2022: 2393-2397 - [c14]Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang:
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. INTERSPEECH 2022: 4621-4625 - [c13]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV 2022: 2703-2713 - [i19]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. CoRR abs/2206.12513 (2022) - [i18]Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang:
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. CoRR abs/2206.13691 (2022) - [i17]Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang:
Personalized Keyword Spotting through Multi-task Learning. CoRR abs/2206.13708 (2022) - [i16]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. CoRR abs/2206.13909 (2022) - [i15]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. CoRR abs/2211.16912 (2022) - 2021
- [c12]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. DCASE 2021: 21-25 - [c11]Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang:
Subspectral Normalization for Neural Audio Data Processing. ICASSP 2021: 850-854 - [c10]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [c9]Byeonggeun Kim, Simyung Chang, Jinkyu Lee, Dooyong Sung:
Broadcasted Residual Learning for Efficient Keyword Spotting. Interspeech 2021: 4538-4542 - [c8]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech 2021: 4568-4572 - [i14]Simyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang:
SubSpectral Normalization for Neural Audio Data Processing. CoRR abs/2103.13620 (2021) - [i13]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i12]Byeonggeun Kim, Simyung Chang, Jinkyu Lee, Dooyong Sung:
Broadcasted Residual Learning for Efficient Keyword Spotting. CoRR abs/2106.04140 (2021) - [i11]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR abs/2106.14681 (2021) - [i10]Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak:
Self-Evolutionary Optimization for Pareto Front Learning. CoRR abs/2110.03461 (2021) - [i9]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR abs/2111.06500 (2021) - [i8]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. CoRR abs/2111.06531 (2021) - [i7]Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR abs/2111.12265 (2021) - 2020
- [c7]Sang-Ho Lee, Simyung Chang, Nojun Kwak:
URNet: User-Resizable Residual Networks with Conditional Gating Module. AAAI 2020: 4569-4576 - [c6]Simyung Chang, Keuntek Lee, Shobhit Jain, Cheul-Hee Hahm:
BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c5]John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. ACML 2019: 32-47 - [c4]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. ICCV 2019: 4802-4810 - [c3]Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak:
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM 2019: 73-82 - [i6]Simyung Chang, Sang-Ho Lee, Nojun Kwak:
URNet : User-Resizable Residual Networks with Conditional Gating Module. CoRR abs/1901.04687 (2019) - [i5]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. CoRR abs/1903.01886 (2019) - 2018
- [c2]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network for Visual Relational Reasoning. ECCV (15) 2018: 780-796 - [c1]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement Learning. NeurIPS 2018: 1754-1763 - [i4]John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. CoRR abs/1811.04350 (2018) - [i3]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. CoRR abs/1811.12362 (2018) - 2017
- [i2]Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak:
Knowledge Sharing for Reinforcement Learning: Writing a BOOK. CoRR abs/1709.01308 (2017) - [i1]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network. CoRR abs/1712.02517 (2017)
Coauthor Index
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