서울대학교가 2020 AAAI에서 13편의 논문을 발표하였다. 

AAAI 2020

• Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data : Thirty-Fourth AAAI Conf. on Artificial Intelligence  (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수
• Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction (Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak) #곽노준 교수
• URNet : User-Resizable Residual Networks with Conditional Gating Module (Sang-ho Lee, Simyung Chang, Nojun Kwak) #곽노준 교수
• REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, and Jungwoo Lee) #이정우 교수
• Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding (Hyeongu Yun, Yongkeun Hwang and Kyomin jung) #정교민 교수
• Reinforcing an Image Caption Generator using Off-­line Human Feedback (Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut) #한보형 교수
• Context-Aware Zero-Shot Recognition (Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang) #한보형 교수
• Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo , Jin Young Choi) #최진영 교수
• Spiking‐YOLO: Spiking Neural Network for Energy-­‐Efficient Object Detection (Seijoon Kim, Seongsik Park , Byunggook Na, Sungroh Yoon) #윤성로 교수
• Real‐Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One‐Shot Channel Pruning (Ilchae Jung, Kihyun You, Hyeonwoo Noh , Minsu Cho, Bohyung Han) #한보형 교수
• Channel Attention Is All You Need for Video Frame Interpolation (Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee) #이경무 교수
• Towards Oracle Knowledge Distillation with Neural Architecture Search (Minsoo Kang, Jonghwan Mun, Bohyung Han) #한보형 교수
• Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface (Sungho Shin, Jinhwan Park, Yoonho Boo, wonyong sung) #성원용 교수