Παρακολούθηση
Hwanjun Song
Hwanjun Song
Assistant Professor, KAIST
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kaist.ac.kr - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
12742022
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
H Song, M Kim, JG Lee
International Conference on Machine Learning (ICML), 2019
4842019
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
4092023
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
1762022
Robust learning by self-transition for handling noisy labels
H Song, M Kim, D Park, Y Shin, JG Lee
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
128*2021
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), 2021
127*2021
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning
H Song, JG Lee
International Conference on Management of Data (SIGMOD), 2018
732018
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
552017
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
502022
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-Main), 2023
432023
Generating Instance-level Prompts for Rehearsal-free Continual Learning
D Jung, D Han, J Bang, H Song
International Conference on Computer Vision (ICCV), 2023
432023
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
41*2022
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
41*2020
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
L Tang, I Shalyminov, AW Wong, J Burnsky, JW Vincent, Y Yang, S Singh, ...
North American Chapter of the Association for Computational Linguistics …, 2024
372024
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
242021
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
D Park, S Choi, D Kim, H Song, JG Lee
Annual Conference on Neural Information Processing Systems (NeurIPS), 2023
222023
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
222020
FineSurE: Fine-grained Summarization Evaluation using LLMs
H Song, H Su, I Shalyminov, J Cai, S Mansour
Annual Meeting of the Association for Computational Linguistics (ACL-Main), 2024
212024
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
The Eleventh International Conference on Learning Representations, 2023
202023
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
202022
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