1 code implementation • CVPR 2021 • Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak
Despite the data labeling cost for the object detection tasks being substantially more than that of the classification tasks, semi-supervised learning methods for object detection have not been studied much.
1 code implementation • 17 Feb 2020 • Minsung Hyun, Jisoo Jeong, Nojun Kwak
First, we analyze existing SSL methods in imbalanced environments and examine how the class imbalance affects SSL methods.
1 code implementation • 19 Apr 2019 • Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
We propose a learning framework named Feature Fusion Learning (FFL) that efficiently trains a powerful classifier through a fusion module which combines the feature maps generated from parallel neural networks.
no code implementations • 15 Apr 2019 • Minsung Hyun, Junyoung Choi, Nojun Kwak
In reinforcement learning (RL), temporal abstraction still remains as an important and unsolved problem.
no code implementations • 13 Mar 2019 • Junyoung Choi, Minsung Hyun, Nojun Kwak
We propose a new low-cost machine-learning-based methodology which assists designers in reducing the gap between the problem and the solution in the design process.
no code implementations • 11 Nov 2018 • John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak
We tackle the blackbox issue of deep neural networks in the settings of reinforcement learning (RL) where neural agents learn towards maximizing reward gains in an uncontrollable way.