April 3, 2022 Product Quantization with Faiss #Product Quantization #Vector Quantization #Nearest Neighbor Search #FAISS
March 16, 2022 ScaNN, Efficient Vector Similarity Search 리뷰 #Nearest Neighbor Search #ScaNN #Vector Search
March 21, 2021 Session-Based Recommendations with Recurrent Neural Networks 리뷰 #Recommender Systems #Session-Based Recommendation #GRU4Rec
March 6, 2021 Linear Regression 톺아보기 #Linear Regression #Supervised Learning #Statistics #Optimization #Gradient Descent
September 20, 2020 What is Odds, Logit and Sigmoid? #Logistic Regression #Sigmoid Function #Logit #Activation Function #Classification
June 21, 2020 Understanding Metric Learning, Chapter2 #Metric Learning #Triplet Loss #Contrastive Learning
May 24, 2020 Understanding Metric Learning, Chapter1 #Metric Learning #Triplet Loss #Pairwise Learning
April 26, 2020 BERT, Pre-training of Deep Bidirectional Transformers for Language Understanding 리뷰 #NLP #BERT #Attention
March 25, 2020 Neural Machine Translation By Jointly Learning To Align And Translate 리뷰 #NLP #Neural Machine Translation #Seq2Seq
December 14, 2019 Wide & Deep Learning for Recommender Systems 리뷰 #Recommender Systems #Wide and Deep #Paper Review
December 13, 2019 Item2Vec, Neural Item Embedding for Collaborative Filtering 리뷰 #Recommender Systems #Item2Vec #Paper Review