Jinho Choo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Variational Bayes

Combinatorial Optimization

Supervised Learning

Top Venues

Publications

Junhee Cho, Jihoon Kim, Daseul Bae, Jinho Choo, Youngjune Gwon, Yeong-Dae Kwon
CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only. CoRR (2024)
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
Simulation-guided Beam Search for Neural Combinatorial Optimization. NeurIPS (2022)
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
Simulation-guided Beam Search for Neural Combinatorial Optimization. CoRR (2022)
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
Matrix Encoding Networks for Neural Combinatorial Optimization. CoRR (2021)
Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. CoRR (2021)
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
Matrix encoding networks for neural combinatorial optimization. NeurIPS (2021)
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. CVPR (2021)
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, Youngjune Gwon
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. CoRR (2020)
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. NeurIPS (2020)