$ls ./papers

AI/ML 논문을 읽고 정리한 리뷰

All 9 Object Detection 0 Reinforcement Learning 0 Image Generation 1 Computer Vision 1 Deep Learning 7

[word2vec 계보 ③] Distributed Representations of Words and Phrases (negative sampling, 2013.10)

[Deep Learning] 2026-08-21
#NLP#word2vec#Word Embedding#Negative Sampling

[word2vec 계보 ②] Efficient Estimation of Word Representations in Vector Space (word2vec, 2013.1)

[Deep Learning] 2026-08-21
#NLP#word2vec#Word Embedding#CBOW

[word2vec 계보 ①] Statistical Language Models Based on Neural Networks (Mikolov 박사논문, 2012)

[Deep Learning] 2026-08-21
#NLP#Language Model#RNN#word2vec

[word2vec 계보 ④] fastText — Subword Information & Bag of Tricks (2016-17)

[Deep Learning] 2026-08-21
#NLP#fastText#Word Embedding#Subword

[논문 리뷰]Attention Is All You Need

[Deep Learning] 2026-08-20
#Transformer#Attention#NLP#Seq2Seq

[Diffusion 계보 ①] Deep Unsupervised Learning using Nonequilibrium Thermodynamics (2015)

[Deep Learning] 2023-01-17
#Diffusion Model#Generative Model

[논문 리뷰]Lifelong Learning with Dynamically Expandable Networks

[Deep Learning] 2022-10-26
#LifeLong Learning#Catastrophic forgetting#Continual Learning#Semantic Drift

[논문 리뷰]A Simple Unified Framework for Detecting Out-Of-Distribution Samples and Adversarial Attack

[Computer Vision] 2022-09-15
#Abnormal Detection#Out-Of-Distribution#Adversarial Attack#Gaussian Discriminant Analysis

[Diffusion 계보 ②] Diffusion Models Beat GANs on Image Synthesis (2021)

[Image Generation] 2022-08-19
#Diffusion Model#GAN#Image Generation