Jangho Kim

According to our database, Jangho Kim authored at least 28 papers between 2011 and 2023.

Collaborative distances:

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

2023

Magnitude Attention-based Dynamic Pruning.

Jihye Back, Namhyuk Ahn, Jangho Kim

CoRR, 2023

Quantization Robust Pruning With Knowledge Distillation.

Jangho Kim

IEEE Access, 2023

Self-Distilled Self-supervised Representation Learning.

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

Proceedings of the 31st ACM International Conference on Multimedia, 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

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.

KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak

CoRR, 2022

Model Compression via Position-Based Scaled Gradient.

Jangho Kim, KiYoon Yoo, Nojun Kwak

IEEE Access, 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 Interspeech 2022, 2022

Variational On-the-Fly Personalization.

Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak

Proceedings of the International Conference on Machine Learning, 2022

Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.

KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak

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

2021

Self-Distilled Self-Supervised Representation Learning.

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak

CoRR, 2021

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

CoRR, 2021

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

Jangho Kim, Simyung Chang, Nojun Kwak

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

Vehicle Image Generation Going Well with the Surroundings.

Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Prototype-Based Personalized Pruning.

Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak

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

Position-based Scaled Gradient for Model Quantization and Sparse Training.

Jangho Kim, KiYoon Yoo, Nojun Kwak

CoRR, 2020

Position-based Scaled Gradient for Model Quantization and Pruning.

Jangho Kim, KiYoon Yoo, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Feature Fusion for Online Mutual Knowledge Distillation.

Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Feature-map-level Online Adversarial Knowledge Distillation.

Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak

Proceedings of the 37th International Conference on Machine Learning, 2020

StackNet: Stacking feature maps for Continual learning.

Jangho Kim, Jeesoo Kim, Nojun Kwak

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

QKD: Quantization-aware Knowledge Distillation.

Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak

CoRR, 2019

2018

HC-Net: Memory-based Incremental Dual-Network System for Continual learning.

Jangho Kim, Jeesoo Kim, Nojun Kwak

CoRR, 2018

Generating objects going well with the surroundings.

Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak

CoRR, 2018

Paraphrasing Complex Network: Network Compression via Factor Transfer.

Jangho Kim, Seonguk Park, Nojun Kwak

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

2016

Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction.

Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2014

Code Optimization on Kepler GPUs and Xeon Phi.

Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung

CoRR, 2014

2011

TSV optimization for BEOL interconnection in logic process.

Sinwoo Kang, Sungdong Cho, Kiyoung Yun, Sangwook Ji, Kisoon Bae, Woonseob Lee, Eunji Kim, Jangho Kim, Jonghoon Cho, Hyongyol Mun, Yeong L. Park

Proceedings of the 2011 IEEE International 3D Systems Integration Conference (3DIC), Osaka, Japan, January 31, 2011