Publication list
Publication list
2024
Cooperative Meta-Learning with Gradient Augmentation
Jongyun Shin, Seunjin Han, Jangho Kim,
The 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024) (BK21+ 사업 선정 우수학술대회)
2023
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights
Jangho Kim, Jayeon Yoo*, Yeji Song*, KiYoon Yoo, Nojun Kwak (* equal contribution)
The 31st ACM International Conference on Multimedia (ACM MM 2023) (BK21+ 사업 선정 우수학술대회)
Self-Distilled Self-Supervised Representation Learning
Jiho Jang, KiYoon Yoo, Seonhoon Kim, Chaerin Kong, Jangho Kim, Nojun Kwak
Winter Conference on Applications of Computer Vision 2023 (WACV 2023)
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
The 23nd Annual Conference of the International Speech Communication Association (InterSpeech 2022), Incheon, korea (한국정보과학회 선정 우수학술대회)
Variational On-the-Fly Personalization
Jangho Kim*, Jun-Tae Lee*, Simyung Chang, Nojun Kwak (* equal contribution)
The Thirty-ninth International Conference on Machine Learning (ICML 2022), July 2022 (BK21+ 사업 선정 우수학술대회)
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Findings of ACL 2022 (BK21+ 사업 선정 우수학술대회)
2021
Vehicle Image Generation Going Well With the Surroundings
Jeesoo Kim*, Jangho Kim*, Jaeyoung Yoo, Daesik Kim, Nojun Kwak (* equal contribution)
28th International Conference on Neural Information Processing (ICONIP 2021), Dec. 2021
Domain Generalization of Efficient Acoustic Scene Classification using Residual Normalization
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Nov. 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Jangho Kim, Simyung Chang, Nojun Kwak
The 22nd Annual Conference of the International Speech Communication Association (InterSpeech 2021), Aug 2021, Brno, Czech Republic (한국정보과학회 선정 우수학술대회)
Prototype-based Personalized Pruning
Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), June. 2021, online
2020
Position-based Scaled Gradient for Model Quantization and Sparse Training
Jangho Kim, KiYoon Yoo, Nojun Kwak
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, online (BK21+ 사업 선정 우수학술대회)
Feature Fusion for Online Mutual Knowledge Distillation
Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, Jan. 2021 (BK21+ 사업 선정 우수학술대회)
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak
Thirty-seventh International Conference on Machine Learning (ICML 2020), July 2020, Online (BK21+ 사업 선정 우수학술대회)
StackNet: Stacking Parameters for Continual learning
Jangho Kim*, Jeesoo Kim*, Nojun Kwak (* equal contribution)
CVPR 2020 Workshop on Continual Learning in Computer Vision, June 2020, Seattle WA (Online)
~2019
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim, SeoungUK Park, Nojun Kwak
Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada, Dec. 2018 (BK21+ 사업 선정 우수학술대회)
Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction
Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim
IEEE International Conference on Systems, Man, and Cybernetics 2016 (SMC 2016) (한국정보과학회 선정 우수학술대회)
Quantization Robust Pruning With Knowledge Distillation
Jangho Kim
IEEE Access, vol. 11, pp. 26419 - 26426, March 2023
Model Compression via Position-Based Scaled Gradient
Jangho Kim, KiYoon Yoo, Nojun Kwak
IEEE Access, vol. 10, pp. 133828 - 133841, Dec. 2022
Machine unlearning Challenge (2nd place in the competition) - hosted at NeurIPS 2023
Detection and Classification of Acoustic Scenes and Events (DCASE) (1st place in the competition), Winner hosted at IEEE AASP – Task 1-a
MicroNet Challenge (3rd place in the competition) - hosted at NeurIPS 2019 - ImageNet domain
QTI Submission to DCASE 2021: Residual Normalization for Device-Imbalanced Acoustic Scene Classification with Efficient Design
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE), Jul. 2021
QKD: Quantization-aware Knowledge Distillation
Jangho Kim*, Yash Bhalgat*, Jinwon Lee, Chirag Patel, Nojun Kwak (* equal contribution)
arXiv, Nov. 2019.
Patent
Residual normalization for improved neural network classifications , US Patent App. 17/807,479
Byeonggeun Kim, Simyung Chang, Jangho Kim, YANG Seunghan, Kyu Woong Hwang
Bayesian personalization , US Patent App. 17/824,832
Jangho Kim, Juntae Lee, Simyung Chang
MODEL COMPRESSION USING PRUNING QUANTIZATION AND KNOWLEDGE DISTILLATION , US Patent App. 17/705,248
Jangho Kim, Simyung Chang, Hyunsin Park, Juntae Lee, Jaewon Choi, Kyu Woong Hwang
Personalized neural network pruning, US Patent App. 17/506,646
Simyung Chang, Jangho Kim, PARK Hyunsin, LEE Juntae, Jaewon Choi, Kyu Woong Hwang