Namuk Park

According to our database, Namuk Park authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

What Do Self-Supervised Vision Transformers Learn?

Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness.

Namuk Park, Songkuk Kim

Proceedings of the International Conference on Machine Learning, 2022

How Do Vision Transformers Work?

Namuk Park, Songkuk Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams.

Namuk Park, Songkuk Kim

Sensors, 2021

Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness.

Namuk Park, Songkuk Kim

CoRR, 2021

Vector Quantized Bayesian Neural Network Inference for Data Streams.

Namuk Park, Taekyu Lee, Songkuk Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Differentiable Bayesian Neural Network Inference for Data Streams.

Namuk Park, Taekyu Lee, Songkuk Kim

CoRR, 2019