Jangho Kim

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Pruning Algorithm

Scene Classification

Density Estimation

Top Venues

Publications

Jongyun Shin, Seunjin Han, Jangho Kim
Cooperative Meta-Learning with Gradient Augmentation. CoRR (2024)
Arthur Witt, Jangho Kim, Christopher Körber, Thomas Luu
ILP-based resource optimization realized by quantum annealing for optical wide-area communication networks - A framework for solving combinatorial problems of a real-world application by quantum annealing. Frontiers Comput. Sci. 6 (2024)
Lukas Mazur, Dennis Bollweg, Daniel D. A. Clarke, Luis Altenkort, Olaf Kaczmarek, Rasmus Larsen, Hai-Tao Shu, Jishnu Goswami, Philipp Scior, Hauke Sandmeyer, Marius Neumann, Henrik Dick, Sajid Ali, Jangho Kim, Christian Schmidt, Peter Petreczky, Swagato Mukherjee
SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Comput. Phys. Commun. 300 (2024)
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia (2023)
Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak
Self-Distilled Self-supervised Representation Learning. WACV (2023)
Jihye Back, Namhyuk Ahn, Jangho Kim
Magnitude Attention-based Dynamic Pruning. CoRR (2023)
Jangho Kim
Quantization Robust Pruning With Knowledge Distillation. IEEE Access 11 (2023)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Model Compression via Position-Based Scaled Gradient. IEEE Access 10 (2022)
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 (2022)
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 (2022)
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)
Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak
Variational On-the-Fly Personalization. ICML (2022)
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR (2022)
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) (2022)
Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
Prototype-based Personalized Pruning. CoRR (2021)
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. DCASE (2021)
Jangho Kim, Simyung Chang, Nojun Kwak
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR (2021)
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. CoRR (2021)
Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak
Vehicle Image Generation Going Well with the Surroundings. ICONIP (4) (2021)
Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
Prototype-Based Personalized Pruning. ICASSP (2021)
Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak
Self-Distilled Self-Supervised Representation Learning. CoRR (2021)
Jangho Kim, Simyung Chang, Nojun Kwak
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech (2021)
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR (2021)
Jangho Kim, Jeesoo Kim, Nojun Kwak
StackNet: Stacking feature maps for Continual learning. CVPR Workshops (2020)
Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak
Feature-map-level Online Adversarial Knowledge Distillation. CoRR (2020)
Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak
Feature-map-level Online Adversarial Knowledge Distillation. ICML (2020)
Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
Feature Fusion for Online Mutual Knowledge Distillation. ICPR (2020)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS (2020)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR (2020)
Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak
QKD: Quantization-aware Knowledge Distillation. CoRR (2019)
Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
Feature Fusion for Online Mutual Knowledge Distillation. CoRR (2019)
Jangho Kim, Seonguk Park, Nojun Kwak
Paraphrasing Complex Network: Network Compression via Factor Transfer. NeurIPS (2018)
Jangho Kim, Seonguk Park, Nojun Kwak
Paraphrasing Complex Network: Network Compression via Factor Transfer. CoRR (2018)
Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak
Generating objects going well with the surroundings. CoRR (2018)
Jangho Kim, Jeesoo Kim, Nojun Kwak
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. CoRR (2018)
Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim
Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction. SMC (2016)
Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung
Code Optimization on Kepler GPUs and Xeon Phi. CoRR (2014)
Sinwoo Kang, Sungdong Cho, Kiyoung Yun, Sangwook Ji, Kisoon Bae, Woonseob Lee, Eunji Kim, Jangho Kim, Jonghoon Cho, Hyongyol Mun, Yeong L. Park
TSV optimization for BEOL interconnection in logic process. 3DIC (2011)