발행물

전체 논문

67

51

Exploiting Scene Depth for Object Detection with Multimodal Transformers
Hwanjun Song*, Eunyoung Kim, Varun Jampan, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang (with NAVER, Google)
British Machine Vision Conference, 2021

52

Robust Learning by Self-Transition for Handling Noisy Labels
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee* (with NAVER)
International Conference on Knowledge Discovery and Data Mining, 2021

53

Machine Learning Robustness, Fairness, and their Convergence
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang* (with NAVER)
International Conference on Knowledge Discovery and Data Mining (Tutorial), 2021

54

Premere: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee*
AAAI Conference on Artificial Intelligence, 2021

55

Carpe Diem, Seize the Samples Uncertain" at the Moment" for Adaptive Batch Selection
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee* (with IBS)
International Conference on Information and Knowledge Management, 2020

56

Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection
Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee* (with IBS)
Machine Learning (SCIE, IF=5.414), 2020

57

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee*
International Conference on Knowledge Discovery and Data Mining, 2020

58

Revisit Prediction by Deep Survival Analysis
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee* (with IBS)
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2020

59

TRAP: Two-level regularized autoencoder-based embedding for power-law distributed data
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee*
Proceedings of The Web Conference, 2020

60

SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
Hwanjun Song, Minseok Kim, Jae-Gil Lee*
International Conference on Machine Learning, 2019