Search Results for author: Janghwan Lee

Found 4 papers, 1 papers with code

SHAPNN: Shapley Value Regularized Tabular Neural Network

no code implementations15 Sep 2023 Qisen Cheng, Shuhui Qu, Janghwan Lee

Additionally, prediction with explanation serves as a regularizer, which improves the model's performance.

Continual Learning valid

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving

no code implementations12 May 2023 Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi

3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding is key to meeting stringent resource and latency requirements.

3D Object Detection Autonomous Driving +2

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