Category: Research
2016
Practical Bayesian Optimization of Machine Learning Algorithms (NIPS 2012)
NIPS 2012에 발표된 Practical Bayesian Optimization of Machine Learning Algorithms 정리
Machine-Learning, Paper-Review, Research
AlphaGo의 알고리즘과 모델
Google Deep Mind에서 2016년 Nature에 발표한 matering the Game of Go with Deep Neural Network and Tree Search 정리. 이 논문은 바둑 프로그램 AlphaGo에 대한 논문이다.
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Reinforcement-Learning, Research
2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (ICML2015)
ICML 2015에 발표된 Show, Attend and Tell: Neural Image Caption Generation with Visual Attention 정리
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Reinforcement-Learning, Research
고흐의 그림을 따라그리는 Neural Network, A Neural Algorithm of Artistic Style (2015)
2015년에 arXiv에 upload된 A Neural Algorithm of Artistic Style 논문 리뷰
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Research
Recurrent Models of Visual Attention (NIPS 2014)
Google Deep Mind에서 NIPS 2014에 발표한 Recurrent Models of Visual Attention 정리
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Reinforcement-Learning, Research
Playing Atari with Deep Reinforcement Learning (NIPS 2013)
Google Deep Mind에서 NIPS 2013에 발표한 Playing Atari with Deep Reinforcement Learning 정리
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Reinforcement-Learning, Research
Recurrent Neural Network Regularization
ArXiv에 업로드되어있는 Recurrent Neural Network Regularization 정리
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Research
Batch Normalization (ICML 2015)
Google이 작성한 현재 ImageNet classification competition state-of-art이고 ICML 2015에 발표된 Batch Normalization 정리
Deep-Learning, Machine-Learning, Neural-Network, Paper-Review, Research
2014
LMNN(Large Margin Nearest Neighbors) (NIPS 2006) LMCA(Large Margin Component Anaylsis) (NIPS 2007)
NIPS 2006에 발표된 LMNN, 그리고 2007년에 발표된 LMCA 정리
Machine-Learning, Paper-Review, Research
Distance Metric Learning
Distance Metric Learning에 대해 설명하는 글
Machine-Learning, Research
2013
좋은 논문 리뷰를 쓰자
NDSL에서 있었던 Paper review session에서 나왔던 교수님의 Comment를 정리하고 논문 리뷰는 어떻게 적는 것인가를 다룹니다
Research
2016
Practical Bayesian Optimization of Machine Learning Algorithms (NIPS 2012)
NIPS 2012에 발표된 Practical Bayesian Optimization of Machine Learning Algorithms 정리
AlphaGo의 알고리즘과 모델
Google Deep Mind에서 2016년 Nature에 발표한 matering the Game of Go with Deep Neural Network and Tree Search 정리. 이 논문은 바둑 프로그램 AlphaGo에 대한 논문이다.
2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (ICML2015)
ICML 2015에 발표된 Show, Attend and Tell: Neural Image Caption Generation with Visual Attention 정리
고흐의 그림을 따라그리는 Neural Network, A Neural Algorithm of Artistic Style (2015)
2015년에 arXiv에 upload된 A Neural Algorithm of Artistic Style 논문 리뷰
Recurrent Models of Visual Attention (NIPS 2014)
Google Deep Mind에서 NIPS 2014에 발표한 Recurrent Models of Visual Attention 정리
Playing Atari with Deep Reinforcement Learning (NIPS 2013)
Google Deep Mind에서 NIPS 2013에 발표한 Playing Atari with Deep Reinforcement Learning 정리
Recurrent Neural Network Regularization
ArXiv에 업로드되어있는 Recurrent Neural Network Regularization 정리
Batch Normalization (ICML 2015)
Google이 작성한 현재 ImageNet classification competition state-of-art이고 ICML 2015에 발표된 Batch Normalization 정리
2014
LMNN(Large Margin Nearest Neighbors) (NIPS 2006) LMCA(Large Margin Component Anaylsis) (NIPS 2007)
NIPS 2006에 발표된 LMNN, 그리고 2007년에 발표된 LMCA 정리
Distance Metric Learning
Distance Metric Learning에 대해 설명하는 글
2013
좋은 논문 리뷰를 쓰자
NDSL에서 있었던 Paper review session에서 나왔던 교수님의 Comment를 정리하고 논문 리뷰는 어떻게 적는 것인가를 다룹니다