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Hwanjun Song
Hwanjun Song
Assistant Professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Learning from Noisy Labels with Deep Neural Networks: A Survey
H Song, M Kim, D Park, Y Shin, JG Lee
Transactions on Neural Networks and Learning Systems (TNNLS), 2022
9862022
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
H Song, M Kim, JG Lee
International Conference on Machine Learning (ICML), 2019
4032019
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
SE Whang, Y Roh, H Song, JG Lee
International Journal on Very Large Data Bases (VLDBJ), 2023
2152023
Robust Learning by Self-Transition for Handling Noisy Labels
H Song, M Kim, D Park, Y Shin, JG Lee
International Conference on Knowledge Discovery and Data Mining (KDD), 2021
106*2021
Dataset Condensation via Efficient Synthetic-Data Parameterization
JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song
International Conference on Machine Learning (ICML), 2022
1042022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang
International Conference on Learning Representation (ICLR), 2022
98*2022
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning
H Song, JG Lee
International Conference on Management of Data (SIGMOD), 2018
692018
PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency
H Song, JG Lee, WS Han
International Conference on Knowledge Discovery and Data Mining (KDD), 2017
532017
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
J Bang, H Koh, S Park, H Song, JW Ha, J Choi
International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
402022
Hi-Covidnet: Deep Learning Approach to Predict Inbound Covid-19 Patients and Case Study in South Korea
M Kim, J Kang, D Kim, H Song, H Min, Y Nam, D Park, JG Lee
International Conference on Knowledge Discovery and Data Mining (KDD), 2020
38*2020
Understanding Cross-domain Few-shot Learning: An Experimental Study
J Oh, S Kim, N Ho, JH Kim, H Song, SY Yun
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
31*2022
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
S Bae, J Ko, H Song, SY Yun
Empirical Methods in Natural Language Processing (EMNLP), 2023
222023
Meta-Learning for Online Update of Recommender Systems
M Kim, H Song, Y Shin, D Park, K Shin, JG Lee
AAAI Conference on Artificial Intelligence (AAAI), 2022
162022
Machine Learning Robustness, Fairness, and their Convergence
JG Lee, Y Roh, H Song, SE Whang
International Conference on Knowledge Discovery and Data Mining (KDD), 2021
162021
Online Boundary-Free Continual Learning by Scheduled Data Prior
H Koh, M Seo, J Bang, H Song, D Hong, S Park, JW Ha, J Choi
International Conference on Learning Representation (ICLR), 2023
152023
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection
H Song, M Kim, S Kim, JG Lee
International Conference on Information and Knowledge Management (CIKM), 2020
152020
Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection
H Song, S Kim, M Kim, JG Lee
Machine Learning (ML), 2020
152020
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
M Kim, H Song, D Kim, S Kijung, JG Lee
AAAI Conference on Artificial Intelligence (AAAI), 2021
142021
Generating Instance-level Prompts for Rehearsal-free Continual Learning
D Jung, D Han, J Bang, H Song
International Conference on Computer Vision (ICCV), 2023
132023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
D Park, Y Shin, J Bang, Y Lee, H Song, JG Lee
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
122022
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