KAIST AI Workshop Poster Sessions


Mingi Ji, Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation, CVPR, 2021 (Moon Il-Chul)


Jinwoo Kim, SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, CVPR, 2021 (Hong Seunghoon)


Jinwoo Kim, Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs, NIPS, 2021 (Hong Seunghoo)


Sungwon Han, Elsa: Energy-based learning for semi-supervised anomaly detection, BMVC, 2021 (Cha Meeyoung)


Sungwon Park, Improving Unsupervised Image Clustering With Robust Learning, CVPR, 2021 (Cha Meeyoung)


Yeonsik Jo, Rethinking Deep Image Prior for Denoising, ICCV, 2021 (Jonghyun Choi)


Arda Senocak, Less Can Be More: Sound Source Localization With a Classification Model, WACV, 2022 (Kweon In So)


Gwonsoo Che, Meta-Learning an Inference Algorithm for Probabilistic Programs, NIPS, 2021 (Yang Hongseok)


Sangdoo Yun, Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels, CVPR, 2021 (NAVER AI Lab)


Bruno Andreis, Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding, NIPS, 2021 (Hwang Sung Ju)

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