Publications 1 페이지 | 서울대학교AI연구원(AIIS)


Total 6건 1 페이지
ICML 2022

Dataset Condensation via Efficient Synthetic-Data Parameterization (Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song) #송현오 교수팀

CVPR 2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?(Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon) #윤성로 교수팀

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data(Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon) #윤성로 교수팀

Learning Fair Classifiers with Partially Annotated Group Labels(Sangwon Jung, Sanghyuk Chun, Taesup Moon) #문태섭 교수팀

ACL 2022

Debiasing Event Understanding for Visual Commonsense Tasks(Minji Seo, YeonJoon Jung, Seungtaek Choi, Seung-won Hwang, Bei Liu) #황승원 교수팀

Plug-and-Play Adaptation for Continuously-updated QA(Kyungjae Lee, Wookje Han, Seung-won Hwang, Hwaran Lee, Joonsuk Park, Sang-Woo Lee) #황승원 교수팀

Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings(Sangwon Yu, Jongyoon Song, Heeseung Kim, Seong-min Lee, Woo-Jong Ryu, Sungroh Yoon) #윤성로 교수팀

ICLR 2022

SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search(Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun) #전병곤 교수팀

NeurIPS 2021

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning (Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, and Taesup Moon) #문태섭 교수팀

AAAI 2022

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks (Seungyong Moon, Gaon An, Hyun Oh Song) #송현오 교수팀

C2L: Causally Contrastive Learning for Robust Text Classification (Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang) #황승원 교수팀