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Daehoon Gwak
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2020 – today
- 2024
- [c3]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR 2024 - [i7]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Forecasting. CoRR abs/2402.02023 (2024) - 2023
- [c2]Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun:
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS 2023 - [i6]Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun:
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR abs/2306.10711 (2023) - 2021
- [c1]Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV 2021: 15405-15414 - [i5]Sanghun Jung
, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR abs/2107.11264 (2021) - [i4]Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi:
Natural Attribute-based Shift Detection. CoRR abs/2110.09276 (2021) - [i3]Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi:
Conditional Generation of Periodic Signals with Fourier-Based Decoder. CoRR abs/2110.12365 (2021) - 2020
- [i2]Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi:
Neural Ordinary Differential Equations for Intervention Modeling. CoRR abs/2010.08304 (2020) - [i1]Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi:
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR abs/2011.13120 (2020)
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last updated on 2024-08-08 19:15 CEST by the dblp team
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