Kim, Jaehong

6 publications

NeurIPS 2025 ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning Xiaotian Liu, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner

AAAI 2025 Learning to Rewind via Iterative Prediction of past Weights for Practical Unlearning Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn

ICLR 2024 LoTa-Bench: Benchmarking Language-Oriented Task Planners for Embodied Agents Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong, Jaehong Kim, Minsu Jang

ECCV 2024 Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-Wise Hidden Bias Jinhyeok Jang, ByungOk Han, Jaehong Kim, Chan-Hyun Youn

ICML 2023 Learning to Boost Training by Periodic Nowcasting near Future Weights Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han

NeurIPS 2017 Continual Learning with Deep Generative Replay Hanul Shin, Jung Kwon Lee, Jaehong Kim, Jiwon Kim