no code implementations • ICLR 2019 • Shuhui Qu, Janghwan Lee, Wei Xiong, Wonhyouk Jang, Jie Wang
Since the generated samples simulate the low density area for each modal, the discriminator could directly detect anomalies from normal data.
no code implementations • 15 Sep 2023 • Qisen Cheng, Shuhui Qu, Janghwan Lee
Additionally, prediction with explanation serves as a regularizer, which improves the model's performance.
1 code implementation • NeurIPS 2023 • Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
Generative Language Models (GLMs) have shown impressive performance in tasks such as text generation, understanding, and reasoning.
no code implementations • 12 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.