Resources

Deep Learning Tutorial (PyTorch Camp) by MILAb

Talks

    • "Introduction to RNN and NLP", @AI Korea 2020 (Zoom), 2020.08.27

    • PyTorch Summer Camp @HGU (2020.07.15 ~ 2020.07.17)

      • with DongNyeong Heo, Chungjun Lee

    • "RNNs and NLP", @StradVision (2020.07.06)

    • "POSTECH 인공지능연구원 AI CASE STUDY 특강", @POSTECH (2020.07.06)

    • "Deep Learning Workshop", @G.camp (2020.06.25~06.26)

    • "RNN and attention in NLP", @ETRI (2020.2.7)

    • "Deep Learning Workshop", @G.camp (2020.01.17~01.18)

    • "AI and Applications", @HGU 평생교육원 (2019.12.10)

    • "recurrent neural networks and their applications to NLP", @RIST (2019.10.11)

    • "memory and representation in recurrent neural networks" @SNU (2019.08.05)

    • PyTorch Summer Camp @HGU (2019.07.29 ~ 2019.07.31)

      • with Chanung Jeong, Hayoung Eom, and DongNyeong Heo

    • Poster presentation @AI Korea 2019 (Yonsei Univ.) (2019.07.26)

      • Sangchul Hahn, "Self-Knowledge Distillation in Natural Language Processing"

      • Hayoung Eom, "Alpha-Integration Pooling for Convolutional Neural Networks"

    • "AI Case Studies", POSCO AI experts training course @POSTECH (2019.06.28)

    • "mathematical issues in optimization and data manifold of neural networks", @KMS Spring Meeting, (2019.04.20)

    • "recurrent neural networks and their applications to NLP", @SKKU (2019.03.15)

    • PyTorch Tutorial @HGU (2019.02.19)

      • with SangChul Hahn, Chanung Jeong, and Hayoung Eom

    • POSTECH-HGU Workshop - 'Math in Machine Learning' @POSTECH (2019.01.29)

      • SangChul Hahn, "Generative Adversarial Networks for Text Generation"

      • Hayoung Eom, "Pooling Methods for Convolutional Neural Networks"