Haanvid Lee

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Visual Categorization

Temporal Scales

Recurrent Neural Network Model

Metric Learning

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Neural Networks

Publications

Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies. CoRR (2024)
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies. ICLR (2024)
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. NeurIPS (2022)
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. CoRR (2022)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks 105 (2018)
Haanvid Lee, Minju Jung, Jun Tani
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. 10 (4) (2018)
Minju Jung, Haanvid Lee, Jun Tani
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR (2017)
Haanvid Lee, Minju Jung, Jun Tani
Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. CoRR (2016)