Kim, Hyunseung

10 publications

NeurIPS 2025 CAMILA: Context-Aware Masking for Image Editing with Language Alignment Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Prahladh Padmanabhan, Saurabh Bagchi, Joon Hee Choi

ICLR 2025 SimBa: Simplicity Bias for Scaling up Parameters in Deep Reinforcement Learning Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno

ICML 2024 Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo

NeurIPS 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

ICMLW 2024 Multi-Task Extension of Geometrically Aligned Transfer Encoder Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

ICMLW 2024 Scalable Multi-Task Transfer Learning for Molecular Property Prediction Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

ICML 2024 Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle

ICMLW 2024 Task Addition in Multi-Task Learning by Geometrical Alignment Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han

NeurIPS 2023 Learning to Discover Skills Through Guidance Hyunseung Kim, Byung Kun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo

NeurIPS 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun