Diffusion Models: From VAEs to DDPM Derivation
A presentation I gave at a YBIGTA. Mathematical derivation of DGM
Deep Learning
Flamingo: a Visual Language Model for Few-Shot Learning
YBIGTA DS Session 11/25 Presentation
Generative Adversarial Nets (GAN) 논문 리뷰
YBIGTA DS Session 11/11 Presentation
SimCLR 논문 리뷰
YBIGTA 10/28 DS Session Presentation
Segment Anything 논문 리뷰
YBIGTA DS Session 09/10 Presentation
DETR: End-to-End Object Detection with Transformers
YBIGTA DS 09/23 Session Presentation
ResNet - 더 깊은 신경망을 위한 잔차 학습
YBIGTA 09/16 DS Session Presentation
Simplifying Neural Nets by Discovering Flat Minima
05/15 ITML Lab meeting
Transformer: Attention부터 BERT까지
YBIGTA 04/01 DS Session Presentation. Attention, Transformer, and BERT step-by-step.