https://www.facebook.com/groups/TensorFlowKR/permalink/536521580022238/
https://kkweon.github.io/pr12-web-app-elm/
JunHo Kim 님께서 올려주신 글에서 발견한 것인데요.
저희 운영진 Kyung Mo Kweon 님께서 만들어 주신 12인회 논문 읽기 비디오: https://kkweon.github.io/pr12-web-app-elm/ 엄청 보기 편합니다. (이런건 어떻게 만드시는지 정말 대단!)
저도 바로바로 업데이트 하겠습니다. http://bit.ly/TFPR12
Search title/speaker
Ask me anything: Dynamic memory networks for natural language processing
PR037
발표자: 곽근봉
Learning to Remember Rare Events
PR036
발표자: 전태균
Understanding Black-box Predictions via Influence Functions
PR035
발표자: 엄태웅
Inception and Xception
PR034
발표자: 유재준
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PR033
발표자: 이진원
Deep Visual-Semantic Alignments for Generating Image Descriptions
PR032
발표자: 강지양
Learning to learn by gradient descent by gradient descent
PR031
발표자: 차준범
Photo-Realistic Single Image Super Resolution Using a Generative Adversarial Network
PR030
발표자: 김승일
Apprenticeship Learning via Inverse Reinforcement Learning
PR029
발표자: 서기호
Densely Connected Convolutional Networks (CVPR 2017, Best Paper Award) by Gao Huang et al.
PR028
발표자: 김성훈
loVe - Global vectors for word representation
PR027
발표자: 곽근봉
Notes for CVPR Machine Learning Session
PR026
발표자: 전태균
Learning with side information through modality hallucination (2016)
PR025
발표자: 엄태웅
Pixel Recurrent Neural Network
PR024
발표자: 유재준
YOLO9000: Better, Faster, Stronger
PR023
발표자: 이진원
InfoGAN (OpenAI)
PR022
발표자: 차준범
Batch Normalization
PR021
발표자: 청영재
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
PR020
발표자: 강지양
Continuous Control with Deep Reinforcement Learning
PR019
발표자: 김승일
A Simple Neural Network Module for Relational Reasoning (DeepMind)
PR018
발표자: 김성훈
Neural Architecture Search with Reinforcement Learning
PR017
발표자: 서기호
You only look once: Unified, real-time object detection
PR016
발표자: 전태균
onvolutional Neural Networks for Sentence Classification
PR015
발표자: 곽근봉
On Human Motion Prediction using RNNs (2017)
PR014
발표자: 엄태웅
Domain Adversarial Training of Neural Network
PR013
발표자: 유재준
Faster R-CNN : Towards Real-Time Object Detection with Region Proposal Networks
PR012
발표자: 이진원
Spatial Transformer Networks
PR011
발표자: 강지양
Auto-Encoding Variational Bayes, ICLR 2014
PR010
발표자: 차준범
Distilling the Knowledge in a Neural Network (Slide: English, Speaking: Korean)
PR009
발표자: 청영재
Reverse Classification Accuracy(역분류 정확도)
PR008
발표자: 정동준
Deep Photo Style Transfer
PR007
발표자: 김승일
Neural Turing Machine
PR006
발표자: 서기호
Playing Atari with Deep Reinforcement Learning (NIPS 2013 Deep Learning Workshop)
PR005
발표자: 김성훈
Image Super-Resolution Using Deep Convolutional Networks
PR004
발표자: 전태균
Learning phrase representations using RNN encoder-decoder for statistical machine translation
PR003
발표자: 곽근봉
Deformable Convolutional Networks (2017)
PR002
발표자: 엄태웅
Generative adversarial nets by Jaejun Yoo (2017/4/13)
PR001
발표자: 유재준
논문 읽기 각오를 다집니다.
PR000
발표자: all
https://kkweon.github.io/pr12-web-app-elm/
JunHo Kim 님께서 올려주신 글에서 발견한 것인데요.
저희 운영진 Kyung Mo Kweon 님께서 만들어 주신 12인회 논문 읽기 비디오: https://kkweon.github.io/pr12-web-app-elm/ 엄청 보기 편합니다. (이런건 어떻게 만드시는지 정말 대단!)
저도 바로바로 업데이트 하겠습니다. http://bit.ly/TFPR12
Search title/speaker
Ask me anything: Dynamic memory networks for natural language processing
PR037
발표자: 곽근봉
Learning to Remember Rare Events
PR036
발표자: 전태균
Understanding Black-box Predictions via Influence Functions
PR035
발표자: 엄태웅
Inception and Xception
PR034
발표자: 유재준
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PR033
발표자: 이진원
Deep Visual-Semantic Alignments for Generating Image Descriptions
PR032
발표자: 강지양
Learning to learn by gradient descent by gradient descent
PR031
발표자: 차준범
Photo-Realistic Single Image Super Resolution Using a Generative Adversarial Network
PR030
발표자: 김승일
Apprenticeship Learning via Inverse Reinforcement Learning
PR029
발표자: 서기호
Densely Connected Convolutional Networks (CVPR 2017, Best Paper Award) by Gao Huang et al.
PR028
발표자: 김성훈
loVe - Global vectors for word representation
PR027
발표자: 곽근봉
Notes for CVPR Machine Learning Session
PR026
발표자: 전태균
Learning with side information through modality hallucination (2016)
PR025
발표자: 엄태웅
Pixel Recurrent Neural Network
PR024
발표자: 유재준
YOLO9000: Better, Faster, Stronger
PR023
발표자: 이진원
InfoGAN (OpenAI)
PR022
발표자: 차준범
Batch Normalization
PR021
발표자: 청영재
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
PR020
발표자: 강지양
Continuous Control with Deep Reinforcement Learning
PR019
발표자: 김승일
A Simple Neural Network Module for Relational Reasoning (DeepMind)
PR018
발표자: 김성훈
Neural Architecture Search with Reinforcement Learning
PR017
발표자: 서기호
You only look once: Unified, real-time object detection
PR016
발표자: 전태균
onvolutional Neural Networks for Sentence Classification
PR015
발표자: 곽근봉
On Human Motion Prediction using RNNs (2017)
PR014
발표자: 엄태웅
Domain Adversarial Training of Neural Network
PR013
발표자: 유재준
Faster R-CNN : Towards Real-Time Object Detection with Region Proposal Networks
PR012
발표자: 이진원
Spatial Transformer Networks
PR011
발표자: 강지양
Auto-Encoding Variational Bayes, ICLR 2014
PR010
발표자: 차준범
Distilling the Knowledge in a Neural Network (Slide: English, Speaking: Korean)
PR009
발표자: 청영재
Reverse Classification Accuracy(역분류 정확도)
PR008
발표자: 정동준
Deep Photo Style Transfer
PR007
발표자: 김승일
Neural Turing Machine
PR006
발표자: 서기호
Playing Atari with Deep Reinforcement Learning (NIPS 2013 Deep Learning Workshop)
PR005
발표자: 김성훈
Image Super-Resolution Using Deep Convolutional Networks
PR004
발표자: 전태균
Learning phrase representations using RNN encoder-decoder for statistical machine translation
PR003
발표자: 곽근봉
Deformable Convolutional Networks (2017)
PR002
발표자: 엄태웅
Generative adversarial nets by Jaejun Yoo (2017/4/13)
PR001
발표자: 유재준
논문 읽기 각오를 다집니다.
PR000
발표자: all
