Yeong-Dae Kwon

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Combinatorial Optimization

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)
JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. 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)
André Hottung, Yeong-Dae Kwon, Kevin Tierney
Efficient Active Search for Combinatorial Optimization Problems. ICLR (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)
André Hottung, Yeong-Dae Kwon, Kevin Tierney
Efficient Active Search for Combinatorial Optimization Problems. CoRR (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)