Jinho Choo

According to our database, Jinho Choo authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

2022

Simulation-guided Beam Search for Neural Combinatorial Optimization.

Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning.

Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon

CoRR, 2021

Matrix encoding networks for neural combinatorial optimization.

Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning.

Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning.

Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020