Skip to content
/ pr12 Public

Youtube Deep Learning Presentation

0 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

mingukkang/pr12

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
README.md
README.md
 
 

Repository files navigation

PR12 Deep Learning Paper Presentation List and Summary

A Documentation of PR12 Deep Learning Paper Presentation Group on YouTube from Tensorflow-Korea Community

페이스북 Tensorflow-Korea PR12 유튜브 딥러닝 논문읽기 모임 논문 List-Up 및 요약 페이지입니다

수정 및 업데이트 요청: 김태오 (Taeoh Kim), [email protected]

Last Updated: 2019/09/20

Table of Contents

Papers by Topic

Up to PR-193

Title PR-001-to-100 PR-101-to-200
Network
CNN 002 011 020 028 034 083 123 155 163 169 170 177
RNN 003 014 058 068
Neural Networks 043 138 174
Network Compression 009 026 033 044 054 072 078 105 108 111 120 144 156 180 183 184 187 193
Hardware 085 111
Visualization 047 053
Memory Networks 006 036
Capsule Networks 056
Generative Models
Generative Models 001 010 022 024 040 048 051 087 088 101 116 125 136 137 142 144 174 192
GANs 001 022 030 048 051 065 073 077 079 087 102 104 109 114 115 122 125 131 136 142 152 154 165 168 192
VAEs 010 101 164 173
Autoregressive Models 024 040 068
Normalizing Flow Models 116
Computer Vision
Classification 020 021 026 028 034 044 054 083 090 108 119 120 123 156 163 169 170 171 183
Detection 002 012 016 023 025 033 044 054 057 084 108 110 132 146 157 158 166 172 185
Segmentation 008 045 057 100 123 126 141 159
Human/Body/Face 014 102 126 127 135 165 171 185
3D Single-View 098
3D Multi-View 135
OCR 158
Image Restoration 004 030 107 113 149 151 177
Video/Motion 014 102 104 114 139 192
Style Transfer 007 122 131 149 186
Image Translation 065 073 102 104 114 152 154 165 168 179
Relational Reasoning 018 095
NLP/Text/Knowledge
Representation 027 049 076 099 121 145 161 175
Machine Translation 003 055
Question Answering 037
Text Classification 015 037
Text Generation 077
Text Style-Transfer 059
Knowledge Tracing 046
Audio/Speech
Audio/Speech Enhancement 067
Audio/Speech Generation 040 079
Audio/Speech Style-Transfer 091 128
Audio/Speech Separation 082
Multimodal
Multimodal 025 147 179
Vision and Language/Text 032 041 074 082 147 179
CNN-RNN 050
Text-to-Speech 074 179
Reinforcement Learning
Reinforcement Learning 005 017 019 029 052 077 081 093 100 130 143
Machine Learning
Transfer Learning 009 026 078 096 160 181
Domain Adaptation 013 159
Optimization 031 042 066 071 075 086 134
Attention 011 049 055 083 161 163 179
Explainable AI 035 047 053 089 106 140 167 181
Few/One/Zero Shot 036 165 168
Bayesian/Uncertainty 039 080 088
Latent Space Models 088
Graph 026 160 178
Dimension Reduction 112 124
Data Visualization 103
Weakly-supervised Learning 047 053
Semi-supervised Learning 178 189
Self-supervised Learning 090 124 136 162
Anomaly Detection 115 148 190
Disentangled Representation 010 022 101 137 164
Generalization 061 062 066 075 140 150 176 181 182 189 190
Regularization 061 182
Active Learning 119
Metric/Similarity Learning 127 139 147 151 171
Imitation Learning 130
Continual Learning 188
Normalization 021 134 186
Distributed Training 092 129 133
Counterfactual Inference 097
ML Fairness 191
AutoML
Neural Architecture Search 017 063 069 105 141 155 166 169 183 187
Hyperparameter Optimization 080
Meta-Learning 031 094 153 188
Applications
Medical 008 159 173 177
Recommender System 060 064
Adversarial Attack 038 117 118
Cloud 070
Data Acquisition/Annotation 157

Presenter

Paper Statistics

by Main Subject

Title PR-001-to-050 PR-051-to-100 PR-101-to-150 PR-151-to-200
Computer Vision 29 13 26 27
Machine Learning 21 20 20 17
NLP 5 7 2 3
Reinforcement Learning 3 3 2 0
Audio/Speech 1 6 1 0
Text/Knowledge/Graph 1 3 0 1
Hardware 0 1 1 0

by Conferences/Journals

Title PR-001-to-050 PR-051-to-100 PR-101-to-150 PR-151-to-200
CVPR 20 7 12 14
NeurIPS 12 7 7 2
ICML 6 9 4 7
ICLR 9 12 7 5
ICCV 1 3 1 3
ECCV 0 0 7 2
EMNLP 3 0 0 0
AAAI 1 1 1 1
RecSys 0 2 0 0
Interspeech 0 2 0 0
ISCA 0 1 1 0
SIGGRAPH 0 1 0 0
ICASSP 0 1 0 0
ECML-PKDD 0 1 0 0
WACV 0 0 1 0
ICCC 0 0 1 0
IPMI 0 0 1 0
BMVC 0 0 0 2
ACL 0 0 0 1
Arxiv/Blog/Tech Rpt. 5 5 6 6
Journals 3 1 3 4

by Published Year

Title PR-001-to-050 PR-051-to-100 PR-101-to-150 PR-151-to-200
2019 0 2 11 18
2018 0 18 23 15
2017 23 20 8 9
2016 14 7 5 3
2015 14 2 1 1
2014 7 2 0 0
2013 1 0 0 0
~2012 1 2 4 1

PR-001 ~ PR-050

PR-001: Generative Adversarial Nets

  • Paper, Video
  • Ian J. Goodfellow et al., NIPS 2014
  • Keywords: Generative Models, GANs
  • Presenter: Jaejun Yoo
  • [Top]

PR-002: Deformable Convolutional Networks

  • Paper, Video
  • Jifeng Dai et al., CVPR 2017
  • Keywords: CNN, Detection
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-003: Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

  • Paper, Video
  • Kyunghyun Cho et al., EMNLP 2014
  • Keywords: NLP, RNN, Machine Translation
  • Presenter: Keunbong Kwak
  • [Top]

PR-004: Image Super-Resolution using Deep Convolutional Neural Networks

  • Paper, Video
  • Chao Dong et al., CVPR 2015
  • Keywords: Image Restoration
  • Presenter: Taegyun Jeon
  • [Top]

PR-005: Playing Atari with Deep Reinforcement Learning

  • Paper, Video
  • Volodymyr Mnih et al., NIPS 2013 Workshop
  • Keywords: Reinforcement Learning
  • Presenter: Sunghun Kim
  • [Top]

PR-006: Neural Turing Machines

  • Paper, Video
  • Alex Graves et al., Arxiv 2014
  • Keywords: Memory Networks
  • Presenter: Kiho Suh
  • [Top]

PR-007: Deep Photo Style Transfer

  • Paper, Video
  • Fujun Luan et al., CVPR 2017
  • Keywords: Style Transfer
  • Presenter: Seungil Kim
  • [Top]

PR-008: Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

  • Paper, Video
  • Vanya V. Valindria et al., IEEE Transactions on Medical Imaging, 2017
  • Keywords: Medical, Segmentation
  • Presenter: Dongjun Jung
  • [Top]

PR-009: Distilling the Knowledge in a Neural Network

  • Paper, Video
  • Geoffrey Hinton et al., NIPS 2014 Workshop
  • Keywords: Network Compression, Transfer Learning
  • Presenter: Young Jae Choung
  • [Top]

PR-010: Auto-Encoding Variational Bayes

  • Paper, Video
  • Diederik P Kingma and Max Welling, ICLR 2014
  • Keywords: Generative Models, VAEs, Disentangled Representation
  • Presenter: Junbum Cha
  • [Top]

PR-011: Spatial Transformer Networks

  • Paper, Video
  • Max Jaderberg et al., NIPS 2015
  • Keywords: CNN, Attention
  • Presenter: Jiyang Kang
  • [Top]

PR-012: Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks

  • Paper, Video
  • Shaoqing Ren et al., NIPS 2015
  • Keywords: Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-013: Domain Adversarial Training of Neural Network

  • Paper, Video
  • Yaroslav Ganin et al., JMLR 2016
  • Keywords: Domain Adaptation
  • Presenter: Jaejun Yoo
  • [Top]

PR-014: On Human Motion Prediction using RNNs

  • Paper, Video
  • Julieta Martinez et al., CVPR 2017
  • Keywords: RNN, Human/Body/Face, Video/Motion
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-015: Convolutional Neural Networks for Sentence Classification

  • Paper, Video
  • Yoon Kim, EMNLP 2014
  • Keywords: NLP, Text Classification
  • Presenter: Keunbong Kwak
  • [Top]

PR-016: You Only Look Once: Unified, Real-time Object Detection

  • Paper, Video
  • Joseph Redmon et al., CVPR 2016
  • Keywords: Detection
  • Presenter: Taegyun Jeon
  • [Top]

PR-017: Neural Architecture Search with Reinforcement Learning

  • Paper, Video
  • Barret Zoph and Quoc V. Le, ICLR 2017
  • Keywords: Neural Architecture Search, Reinforcement Learning
  • Presenter: Kiho Suh
  • [Top]

PR-018: A Simple Neural Network Module for Relational Reasoning

  • Paper, Video
  • Adam Santoro et al., NIPS 2017
  • Keywords: Relational Reasoning
  • Presenter: Sunghun Kim
  • [Top]

PR-019: Continuous Control with Deep Reinforcement Learning

  • Paper, Video
  • Timothy P. Lillicrap et al., Arxiv 2015
  • Keywords: Reinforcement Learning
  • Presenter: Seungil Kim
  • [Top]

PR-020: Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

  • Paper, Video
  • Kaiming He et al., ICCV 2015
  • Keywords: CNN, Classification
  • Presenter: Jiyang Kang
  • [Top]

PR-021: Batch Normalization

  • Paper, Video
  • Sergey Loffe and Christian Szegedy, ICML 2015
  • Keywords: Classification, Normalization
  • Presenter: Young Jae Choung
  • [Top]

PR-022: InfoGAN

  • Paper, Video
  • Xi Chen at al., NIPS 2016
  • Keywords: Generative Models, GANs, Disentangled Representation
  • Presenter: Junbum Cha
  • [Top]

PR-023: YOLO9000: Better, Faster, Stronger

  • Paper, Video
  • Joseph Redmon and Ali Farhadi, CVPR 2017
  • Keywords: Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-024: Pixel Recurrent Neural Network

  • Paper, Video
  • Aaron van den Oord et al., ICML 2016
  • Keywords: Generative Models, Autoregressive Models
  • Presenter: Jaejun Yoo
  • [Top]

PR-025: Learning with Side Information through Modality Hallucination

  • Paper, Video
  • Judy Hoffman et al., CVPR 2016
  • Keywords: Multimodal, Detection
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-026: Notes for CVPR 2017 (3 Papers)

  • Paper1, Paper2, Paper3, Video
  • Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning by Weifeng Ge and Yizhou Yu
  • The More You Know: Using Knowledge Graphs for Image Classification by Kenneth Marino et al.
  • On Compressing Deep Models by Low Rank and Sparse Decomposition by Xiyu Yu at al.
  • Keywords: Transfer Learning, Graph Networks, Classification, Network Compression
  • Presenter: Taegyun Jeon
  • [Top]

PR-027: GloVe: Global Vectors for Word Representation

  • Paper, Video
  • Jeffrey Pennington et al., EMNLP 2014
  • Keywords: NLP, Representation
  • Presenter: Keunbong Kwak
  • [Top]

PR-028: Densely Connected Convolutional Networks

  • Paper, Video
  • Gao Huang et al., CVPR 2017
  • Keywords: CNN, Classification
  • Presenter: Sunghun Kim
  • [Top]

PR-029: Apprenticeship Learning via Inverse Reinforcement Learning

  • Paper, Video
  • Pieter Abbeel and Andrew Y. Ng, ICML 2004
  • Keywords: Reinforcement Learning
  • Presenter: Kiho Suh
  • [Top]

PR-030: Photo-Realistic Single Image Super Resolution Using a Generative Adversarial Networks

  • Paper, Video
  • Christian Ledig et al., CVPR 2017
  • Keywords: GANs, Image Restoration
  • Presenter: Seungil Kim
  • [Top]

PR-031: Learning to Learn by Gradient Descent by Gradient Descent

  • Paper, Video
  • Marcin Andrychowicz et al., NIPS 2016
  • Keywords: Meta-Learning, Optimization
  • Presenter: Junbum Cha
  • [Top]

PR-032: Deep Visual-Semantic Alignments for Generating Image Descriptions

  • Paper, Video
  • Andrej Karpathy and Li Fei Fei, CVPR 2015
  • Keywords: Vision and Language/Text
  • Presenter: Jiyang Kang
  • [Top]

PR-033: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection

  • Paper, Video
  • Sanghoon Hong et al., NIPS 2016 Workshop
  • Keywords: Detection, Network Compression
  • Presenter: Jinwon Lee
  • [Top]

PR-034: Inception and Xception (4 Papers)

  • Paper1, Paper2, Paper3, Paper4, Video
  • Going Deeper with Convolutions by Christian Szegedy at al. CVPR 2015
  • Rethinking the Inception Architecture for Computer Vision by Christian Szegedy at al. CVPR 2016
  • Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning by Christian Szegedy at al. AAAI 2017
  • Xception: Deep Learning with Depthwise Separable Convolutions by Francois Chollet, CVPR 2017
  • Keywords: CNN, Classification
  • Presenter: Jaejun Yoo
  • [Top]

PR-035: Understanding Black-box Predictions via Influence Functions

  • Paper, Video
  • Pang Wei Koh and Percy Liang, ICML 2017
  • Keywords: Explainable AI
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-036: Learning to Remember Rate Events

  • Paper, Video
  • Lukasz Kaiser et al., ICLR 2017
  • Keywords: Few Shot Learning, Memory Networks
  • Presenter: Taegyun Jeon
  • [Top]

PR-037: Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

  • Paper, Video
  • Ankit Kumar et al., ICML 2016
  • Keywords: NLP, Question Answering, Text Classification
  • Presenter: Keunbong Kwak
  • [Top]

PR-038: Explaining and Harnessing Adversarial Examples (2 Papers)

  • Paper1, Paper2, Video
  • Ian J. Goodfellow et al., ICLR 2015
  • Adversarial Attacks on Neural Network Policies by Sandy Huang et al., ICLR 2017 Workshop
  • Keywords: Adversarial Attack
  • Presenter: Kiho Suh
  • [Top]

PR-039: Dropout as a Bayesian Approximation

  • Paper, Video
  • Yarin Gal and Zoubin Ghahramani, ICML 2016
  • Keywords: Bayesian ML
  • Presenter: Junbum Cha
  • [Top]

PR-040: WaveNet: A Generative Model for Raw Audio

  • Paper, Video
  • Aaron van den Oord et al., Arxiv 2016
  • Keywords: Generative Models, Autoregressive Models, Audio/Speech Generation
  • Presenter: Seungil Kim
  • [Top]

PR-041: Show and Tell: A Neural Image Caption Generator

  • Paper, Video
  • Oriol Vinyals et al., CVPR 2015
  • Keywords: Vision and Language/Text
  • Presenter: Jiyang Kang
  • [Top]

PR-042: Adam: A Method for Stochastic Optimization

  • Paper, Video
  • Diederik P. Kingma and Jimmy Ba, ICLR 2015
  • Keywords: Optimization
  • Presenter: Ji-Hoon Kim
  • [Top]

PR-043: HyperNetworks

  • Paper, Video
  • David Ha et al., ICLR 2017
  • Keywords: Neural Networks
  • Presenter: Taesu Kim
  • [Top]

PR-044: MobileNet

  • Paper, Video
  • Andrew G. Howard et al., Arxiv 2017
  • Keywords: Network Compression, Classification, Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-045: DeepLab: Semantic Image Segmentation (5 Papers)

  • Paper1, Paper2, Paper3, Paper4, Paper5, Video
  • Liang-Chieh Chen at al., ICLR 2015 and TPAMI 2016
  • Fully Convolutional Network for Semantic Segmentation by Jonathan Long et al., CVPR 2015
  • Multi Scale Context Aggregation by Dilated Convolution by Fisher Yu and Vladlen Koltun, ICLR 2016
  • PSPNet: Pyramid Scene Parsing Network by Hengshuang Zhao et al., CVPR 2017
  • Rethinking Atrous Convolution for Semantic Image Segmentation by Liang-Chieh Chen et al., Arxiv 2017
  • Keywords: Segmentation
  • Presenter: Taeoh Kim
  • [Top]

PR-046: Deep Knowledge Tracing

  • Paper, Video
  • Chris Piech at al., NIPS 2015
  • Keywords: Text/Knowledge
  • Presenter: Byung-Hak Kim
  • [Top]

PR-047: Learning Deep Features for Discriminative Localization

  • Paper, Video
  • Bolei Zhou et al., CVPR 2016
  • Keywords: Explainable AI, Visualization, Weakly-Supervised Learning
  • Presenter: KwangHee Lee
  • [Top]

PR-048: Towards Principled Methods for Training Generative Adversarial Networks

  • Paper, Video
  • Martin Arjovsky and Leon Bottou, ICLR 2017
  • Keywords: Generative Models, GANs
  • Presenter: Ji-Hoon Kim
  • [Top]

PR-049: Attention is All You Need

  • Paper, Video
  • Ashish Vaswani et al., NIPS 2017
  • Keywords: NLP, Attention, Representation
  • Presenter: Kiho Suh
  • [Top]

PR-050: Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

  • Paper, Video
  • Xingjian Shi et al., NIPS 2015
  • Keywords: CNN-RNN
  • Presenter: Taegyun Jeon
  • [Top]

PR-051 ~ PR-100

PR-051: Conditional Generative Adversarial Nets

  • Paper, Video
  • Mehdi Mirza and Simon Osindero, Arxiv 2014
  • Keywords: Generative Models, GANs
  • Presenter: Seungil Kim
  • [Top]

PR-052: Mastering the Game of Go without Human Knowledge

  • Paper, Video (Not Available)
  • David Silver et al., Nature 2017
  • Keywords: Reinforcement Learning
  • Presenter: Junbum Cha
  • [Top]

PR-053: Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

  • Paper, Video
  • Ramprasaath R. Selvaraju et al., ICCV 2017
  • Keywords: Explainable AI, Visualization, Weakly-Supervised Learning
  • Presenter: Taesu Kim
  • [Top]

PR-054: ShuffleNet: An Extremely Efficient CNN for Mobile Devices

  • Paper, Video
  • Xiangyu Zhang et al., CVPR 2018
  • Keywords: Compression, Classification, Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-055: Neural Machine Translation by Jointly Learning to Align and Translate

  • Paper, Video
  • Dzmitry Bahdanau et al., ICLR 2015
  • Keywords: NLP, Machine Translation, Attention
  • Presenter: Jiyang Kang
  • [Top]

PR-056: Capsule Network

  • Paper, Video
  • Dynamic Routing Between Capsules by Sara Sabour et al., NIPS 2017
  • Keywords: Capsule Network
  • Presenter: Jaejun Yoo
  • [Top]

PR-057: Mask R-CNN

  • Paper, Video
  • Kaiming He et al., ICCV 2017
  • Keywords: Detection, Segmentation
  • Presenter: Taeoh Kim
  • [Top]

PR-058: The Consciousness Prior

  • Paper, Video
  • Yoshua Bengio, Arxiv 2017
  • Keywords: RNN, NLP
  • Presenter: Byung-Hak Kim
  • [Top]

PR-059: Style Transfer from Non-Parallel Text by Cross-Alignment

  • Paper, Video
  • Tianxiao Shen et al., NIPS 2017
  • Keywords: NLP, Text Style Transfer
  • Presenter: Kiho Suh
  • [Top]

PR-060: Deep Neural Networks for YouTube Recommendations

  • Paper, Video
  • Paul Covington et al., ACM Conference on Recommender Systems 2016
  • Keywords: Recommender System
  • Presenter: Keunbong Kwak
  • [Top]

PR-061: Understanding Deep Learning Requires Rethinking Generalization

  • Paper, Video
  • Chiyuan Zhang et al., ICLR 2017
  • Keywords: Generalization, Regularization
  • Presenter: Jaejun Yoo
  • [Top]

PR-062: Deep Learning: A Critical Appraisal

  • Paper, Video
  • Gary Marcus, Arxiv 2018
  • Keywords: Generalization
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-063: Peephole: Predicting Network Performance Before Training

  • Paper, Video
  • Boyang Deng et al., Arxiv 2017
  • Keywords: NAS
  • Presenter: Taegyun Jeon
  • [Top]

PR-064: Wide & Deep Learning for Recommender Systems

  • Paper, Video
  • Heng-Tze Cheng et al., ACM Workshop on Deep Learning for Recommender Systems 2016
  • Keywords: Recommender System
  • Presenter: Keunbong Kwak
  • [Top]

PR-065: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

  • Paper, Video
  • Ting-Chun Wang et al., CVPR 2018
  • Keywords: GANs, Image Translation
  • Presenter: KwangHee Lee
  • [Top]

PR-066: Don't Decay the Learning Rate, Increase the Batch Size

  • Paper, Video
  • Samuel L. Smith et al., ICLR 2018
  • Keywords: Optimization, Generalization
  • Presenter: Junbum Cha
  • [Top]

PR-067: Audio Super Resolution using Neural Nets

  • Paper, Video
  • Volodymyr Kuleshov et al., ICLR 2017 Workshop
  • Keywords: Audio/Speech, Speech Enhancement
  • Presenter: Seungil Kim
  • [Top]

PR-068: DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

  • Paper, Video
  • David Salinas et al., ICML 2017
  • Keywords: RNN, Autoregressive Models
  • Presenter: Jiyang Kang
  • [Top]

PR-069: Efficient Neural Architecture Search via Parameter Sharing

  • Paper, Video
  • Hieu Pham et al., ICML 2018
  • Keywords: NAS
  • Presenter: Jinwon Lee
  • [Top]

PR-070: SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud

  • Paper, Video
  • Zahra Ghodsi et al., ICML 2018
  • Keywords: Cloud-based ML
  • Presenter: Taesu Kim
  • [Top]

PR-071: Categorical Reparameterization with Gumbel Softmax

  • Paper1, Paper2, Video
  • Eric Jang et al., NIPS 2016 Workshop
  • The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables by Chris J Maddison et al., ICLR 2017
  • Keywords: Optimization
  • Presenter: Jaejun Yoo
  • [Top]

PR-072: Deep Compression

  • Paper, Video
  • Song Han et al., ICLR 2016
  • Keywords: Network Compression
  • Presenter: Taeoh Kim
  • [Top]

PR-073: Generative Semantic Manipulation with Contrasting GAN

  • Paper, Video
  • Xiaodan Liang et al., NIPS 2017
  • Keywords: GANs, Image Translation
  • Presenter: KwangHee Lee
  • [Top]

PR-074: ObamaNet: Photo-Realistic Lip-Sync from Text

  • Paper, Video
  • Rithesh Kumar et al., NIPS 2017 Workshop
  • Keywords: Vision and Language/Text, Text-to-Speech
  • Presenter: Byung-Hak Kim
  • [Top]

PR-075: On Calibriation of Modern Neural Networks

  • Paper, Video
  • Chuan Guo et al., ICML 2017
  • Keywords: Generalization, Optimization
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-076: Distributed Representations of Sentences and Documents

  • Paper, Video
  • Quoc V. Le and Tomas Mikolov, ICML 2014
  • Keywords: NLP, Representation
  • Presenter: Keunbong Kwak
  • [Top]

PR-077: SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

  • Paper, Video
  • Lantao Yu et al., AAAI 2017
  • Keywords: NLP, GANs, Text Generation, Reinforcement Learning
  • Presenter: Kiho Suh
  • [Top]

PR-078: Net2Net: Accelerating Learning via Knowledge Transfer

  • Paper, Video
  • Tianqi Chen et al., ICLR 2016
  • Keywords: Network Compression, Transfer Learning
  • Presenter: Junbum Cha
  • [Top]

PR-079: Synthesizing Audio with Generative Adversarial Networks (Adversarial Audio Synthesis)

  • Paper, Video
  • Chris Donahue et al., ICLR 2019
  • Keywords: Audio/Speech, Audio/Speech Generation, GANs
  • Presenter: Seungil Kim
  • [Top]

PR-080: Practical Bayesian Optimization of Machine Learning Algorithms

  • Paper, Video
  • Jasper Snoek et al., NIPS 2012
  • Keywords: Hyperparameter Optimization, Bayesian ML
  • Presenter: Seungil Kim
  • [Top]

PR-081: Machine Theory of Mind

  • Paper, Video (Not Available)
  • Neil C. Rabinowitz et al., ICML 2018
  • Keywords: Reinforcement Learning
  • Presenter: Ji-Hoon Kim
  • [Top]

PR-082: Introduction to Speech Separation

  • Paper1, Paper2, Video
  • Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation by Ariel Ephrat et al., SIGGRAPH 2018
  • The Conversation: Deep Audio-Visual Speech Enhancement by Triantafyllos Afouras et al., Interspeech 2018
  • Keywords: Audio/Speech, Speech Separation, Vision and Language/Text
  • Presenter: Taesu Kim
  • [Top]

PR-083: Non-Local Neural Networks

  • Paper, Video
  • Xiaolong Wang et al., CVPR 2018
  • Keywords: CNN, Attention, Classification
  • Presenter: Taeoh Kim
  • [Top]

PR-084: MegDet: A Large Mini-Batch Object Detector

  • Paper, Video
  • Chao Peng et al., CVPR 2018
  • Keywords: Detection
  • Presenter: Taegyun Jeon
  • [Top]

PR-085: In-Datacenter Performance Analysis of a Tensor Processing Unit

  • Paper, Video
  • Norman P. Jouppi et al., ISCA 2017
  • Keywords: Hardware
  • Presenter: Jinwon Lee
  • [Top]

PR-086: Curriculum Learning

  • Paper, Video
  • Yoshua Bengio et al., ICML 2009
  • Keywords: Optimization
  • Presenter: Junbum Cha
  • [Top]

PR-087: Spectral Normalization for Generative Adversarial Networks

  • Paper, Video
  • Takeru Miyato et al., ICLR 2018
  • Keywords: Generative Models, GANs
  • Presenter: Jaejun Yoo
  • [Top]

PR-088: Deep Variational Bayes Filters

  • Paper, Video
  • Maximilian Karl et al., ICLR 2017
  • Keywords: Generative Models, Latent Space Models, Bayesian ML
  • Presenter: Terry TaeWoong Um
  • [Top]

PR-089: Beyond Word Importance: Contextual Decomposition to Extract Interactions

  • Paper, Video
  • W. James Murdoch et al., ICLR 2018
  • Keywords: NLP, Explainable AI
  • Presenter: Byung-Hak Kim
  • [Top]

PR-090: Representation Learning by Learning to Count

  • Paper, Video
  • Mehdi Noroozi et al., ICCV 2017
  • Keywords: Self-supervised Learning, Classification
  • Presenter: Kiho Suh
  • [Top]

PR-091: A Unversal Music Translation Network

  • Paper, Video
  • Noam Mor et al., ICLR 2019
  • Keywords: Audio/Speech, Audio Style Transfer
  • Presenter: Seungil Kim
  • [Top]

PR-092: Distributed Training of Neural Networks

  • Paper1, Paper2 Video
  • Scalable Distributed DNN Training Using Commodity GPU Cloud Computing by Nikko Strom, Interspeech 2015
  • Scalable Training of Deep Learning Machines by Incremental Block Training with Intra-block Parallel Optimization and Blockwise Model-Update Filtering by Kai Chen and Qiang Huo, ICASSP 2016
  • Keywords: Distibuted Training
  • Presenter: Jiyang Kang
  • [Top]

PR-093: Playing Hard Exploration Games by Watching YouTube

  • Paper, Video (Not Available)
  • Yusuf Aytar et al., NeurIPS (NIPS) 2018
  • Keywords: Reinforcement Learning
  • Presenter: Ji-Hoon Kim
  • [Top]

PR-094: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

  • Paper, Video
  • Chelsea Finn et al., ICML 2017
  • Keywords: Meta-Learning
  • Presenter: Taesu Kim
  • [Top]

PR-095: Modularity Matters: Learning Invariant Relational Reasoning Tasks

  • Paper, Video
  • Jason Jo et al., Arxiv 2018
  • Keywords: Relational Reasoning
  • Presenter: Jinwon Lee
  • [Top]

PR-096: Taskonomy: Disentangling Task Transfer Learning

  • Paper, Video
  • Amir Zamir et al., CVPR 2018
  • Keywords: Transfer Learning
  • Presenter: Taeoh Kim
  • [Top]

PR-097: Learning Representations for Counterfactual Inference

  • Paper, Video
  • Fredrik D. Johansson et al., ICML 2016
  • Keywords: Counterfactual Inference
  • Presenter: Byung-Hak Kim
  • [Top]

PR-098: MegaDepth: Leraning Single-View Depth Prediction from Internet Photos

  • Paper, Video
  • Zhengqi Li and Noah Snavely, CVPR 2018
  • Keywords: 3D Single-View
  • Presenter: KwangHee Lee
  • [Top]

PR-099: MRNet-Product2Vec: A Multi-Task Recurrent Neural Network for Product Embeddings

  • Paper, Video
  • Arijit Biswas et al., ECML-PKDD 2017
  • Keywords: NLP, Representation
  • Presenter: Keunbong Kwak
  • [Top]

PR-100: SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation

  • Paper, Video
  • Gwangmo Song et al., CVPR 2018
  • Keywords: Segmentation, Reinforcement Learning
  • Presenter: KwangHee Lee
  • [Top]

PR-101 ~ PR-150

PR-101: Deep Feature Consistent Variational Autoencoder

  • Paper, Video
  • Xianxu Hou et al., WACV 2017
  • Keywords: Generative Models, VAEs, Disentangled Representation
  • Presenter: MinGuk Kang
  • [Top]

PR-102: Everybody Dance Now

  • Paper, Video
  • Caroline Chan et al., ICCV 2019
  • Keywords: GANs, Image Translation, Human/Body/Face, Video/Motion
  • Presenter: Byung-Hak Kim
  • [Top]

PR-103: Visualizing Data using t-SNE

  • Paper, Video
  • Laurens van der Maaten and Geoffrey Hinton, JMLR 2008
  • Keywords: Data Visualization
  • Presenter: Taeoh Kim
  • [Top]

PR-104: Video-to-Video Synthesis

  • Paper, Video
  • Ting-Chen Wang et al., NeurIPS (NIPS) 2018
  • Keywords: GANs, Image Translation, Video/Motion
  • Presenter: Taesu Kim
  • [Top]

PR-105: MNasNet: Platform-Aware Neural Architecture Search for Mobile

  • Paper, Video
  • Mingxing Tan et al., CVPR 2019
  • Keywords: NAS, Compression
  • Presenter: Taekmin Kim
  • [Top]

PR-106: Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

  • Paper, Video
  • Jianbo Chen et al., ICML 2018
  • Keywords: Explainable AI
  • Presenter: Jinsung Yoon
  • [Top]

PR-107: Image Inpainting for Irregular Holes using Partial Convolutions

  • Paper, Video
  • Guilin Liu et al., ECCV 2018
  • Keywords: Image Restoration
  • Presenter: Jiwon Jung
  • [Top]

PR-108: MobileNetV2: Inverted Residuals and Linear Bottlenecks

  • Paper, Video
  • Mark Sandler et al., CVPR 2018
  • Keywords: Compression, Classification, Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-109: Large Scale GAN Training for High Fidelity Naturel Image Synthesis

  • Paper, Video
  • Andrew Brock et al., ICLR 2019
  • Keywords: GANs
  • Presenter: Yeoung Seok Kim
  • [Top]

PR-110: SNIP: An Anaylsis of Scale Invariance in Object Detection

  • Paper, Video
  • Bharat Singh and Larry S. Davis et al., CVPR 2018
  • Keywords: Detection
  • Presenter: Jaewon Lee
  • [Top]

PR-111: EVA2: Exploiting Temporal Redundancy in Live Computer Vision

  • Paper, Video
  • Mark Buckler et al., ISCA 2018
  • Keywords: Compression, Hardware
  • Presenter: Soyeon Kim
  • [Top]

PR-112: Independent Component Analysis

  • Paper, Video
  • Aapo Hyvarinen, IEEE Transactions on Neural Networks 1999
  • Keywords: Dimension Reduction
  • Presenter: Jae Duk Seo
  • [Top]

PR-113: The Perception Distortion Tradeoff

  • Paper, Video
  • Yochai Blau and Tomer Michaeli, CVPR 2018
  • Keywords: Image Restoration
  • Presenter: Taeoh Kim
  • [Top]

PR-114: Recycle-GAN: Unsupervised Video Retargeting

  • Paper, Video
  • Aayush Bansal et al., ECCV 2018
  • Keywords: GANs, Image Translation, Video/Motion
  • Presenter: Byung-Hak Kim
  • [Top]

PR-115: Unsupervised Anomaly Detection with Generative Adversarial Networks

  • Paper, Video
  • Thomas Schlegl et al., IPMI 2017
  • Keywords: GANs, Anomaly Detection
  • Presenter: MinGuk Kang
  • [Top]

PR-116: Glow: Generative Flow with Invertable 1x1 Convolutions

  • Paper, Video
  • Diederik P. Kingma and Prafulla Dhariwal, NeurIPS (NIPS) 2018
  • Keywords: Generative Models, Normalizing Flow Models
  • Presenter: Taesu Kim
  • [Top]

PR-117: PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

  • Paper, Video
  • Jan Svoboda et al., ICLR 2019
  • Keywords: Adversarial Attack
  • Presenter: Taekmin Kim
  • [Top]

PR-118: Black-box Attacks with Limited Queries and Information

  • Paper, Video
  • Andrew Ilyas et al., ICML 2018
  • Keywords: Adversarial Attack
  • Presenter: Jinsung Yoon
  • [Top]

PR-119: Active Learning for Convolutional Neural Networks: A Core-Set Approach

  • Paper, Video
  • Ozan Sener and Silvio Savarese, ICLR 2018
  • Keywords: Active Learning, Classification
  • Presenter: Jiwon Jung
  • [Top]

PR-120: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

  • Paper, Video
  • Ningning Ma et al., ECCV 2018
  • Keywords: Compression, Classification
  • Presenter: Jinwon Lee
  • [Top]

PR-121: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

  • Paper, Video
  • Jacob Devlin et al., Arxiv 2018
  • Keywords: NLP, Representation
  • Presenter: Young Seok Kim
  • [Top]

PR-122: CAN: Creative Adversarial Networks, Generating Art by Learning About Style and Deviating from Style Norms

  • Paper, Video
  • Ahmed Elgammal et al., ICCC 2017
  • Keywords: GANs, Style Transfer
  • Presenter: Jaewon Lee
  • [Top]

PR-123: Partial Convolution based Padding

  • Paper, Video
  • Guilin Liu et al., Arxiv 2018
  • Keywords: CNN, Classification, Segmentation
  • Presenter: Soyeon Kim
  • [Top]

PR-124: Stacked Denoising Autoencoders

  • Paper, Video
  • Pascal Vincent et al., JMLR 2010
  • Keywords: Self-supervised Learning, Autoencoders
  • Presenter: Jae Duk Seo
  • [Top]

PR-125: Energy-based Generative Adversarial Networks

  • Paper, Video
  • Junbo Zhao et al., ICLR 2017
  • Keywords: Generative Models, GANs
  • Presenter: MinGuk Kang
  • [Top]

PR-126: DensePose: Dense Human Pose Estimation in the Wild

  • Paper, Video
  • Riza Alp Guler et al., CVPR 2018
  • Keywords: Segmentation, Pose
  • Presenter: Byung-Hak Kim
  • [Top]

PR-127: FaceNet

  • Paper, Video
  • Florian Schroff et al., CVPR 2015
  • Keywords: Human/Body/Face, Metric Learning
  • Presenter: Taeoh Kim
  • [Top]

PR-128: TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

  • Paper, Video
  • Sicong Huang et al., ICLR 2019
  • Keywords: Audio/Speech, Audio/Speech Style-Transfer
  • Presenter: Taesu Kim
  • [Top]

PR-129: Horovod: Fast and Easy Distributed Deep Learning in TensorFlow

  • Paper, Video
  • Alexander Sergeev and Mike Del Balso, Arxiv 2018
  • Keywords: Distributed Training
  • Presenter: Taekmin Kim
  • [Top]

PR-130: Generative Adversarial Imitation Learning

  • Paper, Video
  • Jonathan Ho and Stefano Ermon, NIPS 2016
  • Keywords: Imitation Learning, Reinforcement Learning
  • Presenter: Jinsung Yoon
  • [Top]

PR-131: A Style-Based Generator Architecture for Generative Adversarial Networks

  • Paper, Video
  • Tero Karras et al, CVPR 2019
  • Keywords: GANs, Style-Transfer
  • Presenter: Jiwon Jung
  • [Top]

PR-132: SSD: Single Shot MultiBox Detector

  • Paper, Video
  • Wei Liu et al, ECCV 2016
  • Keywords: Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-133: Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

  • Paper, Video
  • Priya Goyal et al, Arxiv 2017
  • Keywords: Distributed Training
  • Presenter: Young Seok Kim
  • [Top]

PR-134: How Does Batch Normalization Help Optimization?

  • Paper, Video
  • Shibani Santurkar et al, NeurIPS (NIPS) 2018
  • Keywords: Optimization, Normalization
  • Presenter: Jaewon Lee
  • [Top]

PR-135: Photo Wake-Up: 3D Character Animation from a Single Photo

  • Paper, Video
  • Chung-Yi Weng et al, CVPR 2019
  • Keywords: 3D Multi-View, Human/Body/Pose
  • Presenter: Soyeon Kim
  • [Top]

PR-136: Self-Supervised Generative Adversarial Networks

  • Paper, Video
  • Ting Chen et al, CVPR 2019
  • Keywords: Self-supervised Learning, Generative Models, GANs
  • Presenter: MinGuk Kang
  • [Top]

PR-137: MINE: Mutual Information Neural Estimation

  • Paper, Video (Not Available)
  • Mohamed Ishmael Belghazi et al, ICML 2018
  • Keywords: Generative Models, Disentangled Representation
  • Presenter: Jae Duk Seo
  • [Top]

PR-138: Mixture Density Networks

  • Paper, Video
  • Christopher M. Bishop, 1994
  • Keywords: Neural Networks
  • Presenter: Byung-Hak Kim
  • [Top]

PR-139: Fully Convolutional Siemese Networks for Object Tracking

  • Paper, Video
  • Luca Bertinetto et al., ECCV 2016
  • Keywords: Video/Motion, Metric Learning
  • Presenter: Taeoh Kim
  • [Top]

PR-140: Training Set Debugging using Trusted Items

  • Paper, Video
  • Xuezhou Zhang et al., AAAI 2018
  • Keywords: Explainable AI, Generalization
  • Presenter: Taesu Kim
  • [Top]

PR-141: Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

  • Paper, Video
  • Chenxi Liu et al., CVPR 2019
  • Keywords: NAS, Segmentation
  • Presenter: Taekmin Kim
  • [Top]

PR-142: Wasserstein GAN

  • Paper1, Paper2, Video
  • Martin Arjovsky et al., ICML 2017
  • Improved Training of Wasserstein GANs by Ishaan Gulrajani et al., NIPS 2017
  • Keywords: Generative Models, GANs
  • Presenter: Jinsung Yoon
  • [Top]

PR-143: Recurrent World Models Facilitate Policy Evolution

  • Paper, Video
  • David Ha and Jurgen Schmidhuber, NeurIPS (NIPS) 2018
  • Keywords: Reinforcement Learning
  • Presenter: Jiwon Jung
  • [Top]

PR-144: SqueezeNext: Hardware-Aware Neural Network Design

  • Paper1, Paper2, Video
  • SqueezeNext: Amir Gholami et al., CVPR 2018
  • SqueezeNet: Forrest N. Iandola et al., ICLR 2017
  • Keywords: Compression, Classification
  • Presenter: Jinwon Lee
  • [Top]

PR-145: Language Models are Unsupervised Multitask Learners (OpenAI GPT-2)

  • Paper, Video
  • Alec Radford et al., OpenAI Blog 2019
  • Keywords: NLP, Representation
  • Presenter: Young Seok Kim
  • [Top]

PR-146: CornerNet: Detecting Objects as Paired Keypoints

  • Paper, Video (Not Available)
  • Hei Law and Jia Deng, ECCV 2018
  • Keywords: Detection
  • Presenter: Jaewon Lee
  • [Top]

PR-147: Learning Deep Structure-Preserving Image-Text Embeddings

  • Paper, Video
  • Liwei Wang et al., CVPR 2016
  • Keywords: Metric Learning, Vision and Language/Text, Multimodal
  • Presenter: Soyeon Kim
  • [Top]

PR-148: Deep Anomaly Detection using Geometric Transformations

  • Paper, Video
  • Izhak Golan and Ran El-Yaniv, NeurIPS (NIPS) 2018
  • Keywords: Anomaly Detection
  • Presenter: MinGuk Kang
  • [Top]

PR-149: Perceptual Losses for Real-Time Style Transfer and Super-Resolution

  • Paper, Video
  • Justin Johnson et al., ECCV 2016
  • Keywords: Style-Transfer, Image Restoration
  • Presenter: Byung-Hak Kim
  • [Top]

PR-150: ImageNet-trained CNNs are Biased Towards Textures

  • Paper, Video
  • Robert Geirhos et al., ICLR 2019
  • Keywords: Generalization
  • Presenter: Taeoh Kim
  • [Top]

PR-151 ~ PR-200

PR-151: The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

  • Paper, Video
  • Richard Zhang et al., CVPR 2018
  • Keywords: Metric Learning, Image Restoration
  • Presenter: Taesu Kim
  • [Top]

PR-152: StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

  • Paper, Video
  • Yunjey Choi et al., CVPR 2018
  • Keywords: GANs, Image Translation
  • Presenter: Jinsung Yoon
  • [Top]

PR-153: SNAIL: A Simple Neural Attentive Meta-Learner

  • Paper, Video
  • Nikhil Mishra et al., ICLR 2018
  • Keywords: Meta-Learning
  • Presenter: Taekmin Kim
  • [Top]

PR-154: Semantic Image Synthesis with Spatially-Adaptive Normalization

  • Paper, Video
  • Taesung Park et al., CVPR 2019
  • Keywords: GANs, Image Translation
  • Presenter: Jiwon Jung
  • [Top]

PR-155: Exploring Randomly Wired Neural Networks for Image Recognition

  • Paper, Video
  • Saining Xie et al., ICCV 2019
  • Keywords: CNN, NAS
  • Presenter: Jinwon Lee
  • [Top]

PR-156: ChannelNets: Compact and Efficient CNN via Channel-Wise Convolutions

  • Paper, Video
  • Hongyang Gao et al., NeurIPS (NIPS) 2018
  • Keywords: Compression, Classification
  • Presenter: Young Seok Kim
  • [Top]

PR-157: Best of Both Worlds: Human-Machine Collaboration for Object Annotation

  • Paper, Video
  • Olga Russakovsky et al., CVPR 2015
  • Keywords: Detection, Data Annotation
  • Presenter: Jaewon Lee
  • [Top]

PR-158: FOTS: Fast Oriented Text Spotting with a Unified Network

  • Paper, Video
  • Xuebo Liu et al., CVPR 2018
  • Keywords: OCR, Detection
  • Presenter: Soyeon Kim
  • [Top]

PR-159: SIFA: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

  • Paper, Video
  • Cheng Chen et al., AAAI 2019
  • Keywords: Domain Adaptation, Segmentation, Medical
  • Presenter: Sunghoon Joo
  • [Top]

PR-160: GLoMo: Unsupervised Learning of Transferable Relational Graph

  • Paper, Video
  • Zhilin Yang et al., NeurIPS (NIPS) 2018
  • Keywords: NLP, Transfer Learning, Graph
  • Presenter: Doyup Lee
  • [Top]

PR-161: Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

  • Paper, Video
  • Zihang Dai et al., ACL 2019
  • Keywords: NLP, Attention, Representation
  • Presenter: Sungnam Park
  • [Top]

PR-162: DeepPermNet: Visual Permutation Learning

  • Paper, Video
  • Rodrigo Santa Cruz et al., CVPR 2017
  • Keywords: Self-supervised Learning
  • Presenter: MinGuk Kang
  • [Top]

PR-163: CNN Attention Networks

  • Paper1, Paper2, Paper3, Paper4, Video
  • RAN (Residual Attention Network) by Fei Wang et al., CVPR 2017
  • BAM (Bottleneck Attention Module) by Jongchan Park et al., BMVC 2018
  • CBAM (Convolutional Block Attention Module) by Sanghyun Yoo et al., ECCV 2018
  • SE-Net (Squeeze and Excitation Networks) by Jie Hu., CVPR 2018
  • Keywords: CNN, Attention, Classification
  • Presenter: Taeoh Kim
  • [Top]

PR-164: InfoVAE: Balancing Learning and Inference in Variational Autoencoders

  • Paper, Video
  • Shengjia Zhao et al., Arxiv 2017
  • Keywords: VAEs, Disentangled Representation
  • Presenter: Byung-Hak Kim
  • [Top]

PR-165: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

  • Paper, Video
  • Egor Zakharov et al., Arxiv 2019
  • Keywords: Few-Shot Learning, GANs, Image Translation, Human/Body/Face
  • Presenter: Taesu Kim
  • [Top]

PR-166: NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

  • Paper, Video
  • Golnaz Ghiasi et al., CVPR 2019
  • Keywords: NAS, Detection
  • Presenter: Taekmin Kim
  • [Top]

PR-167: Interpretability Beyond Feature Attribution: Testing with Concept Activation Vector (TCAV)

  • Paper, Video
  • Been Kim et al., ICML 2018
  • Keywords: Explainable AI
  • Presenter: Jinsung Yoon
  • [Top]

PR-168: Few Shot Unsupervised Image to Image Translation

  • Paper, Video
  • Ming-Yu Liu et al., ICCV 2019
  • Keywords: Few-Shot Learning, GANs, Image Translation
  • Presenter: Jiwon Jung
  • [Top]

PR-169: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

  • Paper, Video
  • Mingxing Tan et al., ICML 2019
  • Keywords: CNN, NAS, Classification
  • Presenter: Jinwon Lee
  • [Top]

PR-170: Deep Residual Learning for Image Recognition

  • Paper1, Paper2, Video
  • ResNet v1 by Kaiming He et al., CVPR 2016
  • ResNet v2 by Kaiming He et al., ECCV 2016
  • Keywords: CNN, Classification
  • Presenter: Yeong Seok Kim
  • [Top]

PR-171: Large-Margin Softmax Loss for Convolutional Neural Networks

  • Paper, Video
  • Weiyang Liu et al., ICML 2016
  • Keywords: Metric Learning, Classification, Human/Body/Face
  • Presenter: Jaewon Lee
  • [Top]

PR-172: Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

  • Paper, Video
  • Hamid Rezatofighi et al., CVPR 2019
  • Keywords: Detection
  • Presenter: Soyeon Kim
  • [Top]

PR-173: Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

  • Paper, Video
  • Rafael Gomez-Bombarelli et al., ACS Central Science 2018
  • Keywords: VAEs, Medical
  • Presenter: Sunghoon Joo
  • [Top]

PR-174: Restricted Boltzmann Machine for Deep Belief Nets

  • Paper, Video
  • Geoffrey E. Hinton et al., Neural Computation 2006
  • Keywords: Neural Network, Generative Models
  • Presenter: MinGuk Kang
  • [Top]

PR-175: XLNet: Generalized Autoregressive Pretraining for Language Understanding

  • Paper, Video
  • Zhilin Yang et al., Arxiv 2019
  • Keywords: NLP, Representation
  • Presenter: Sungnam Park
  • [Top]

PR-176: Combating Label Noise in Deep Learning Using Abstention

  • Paper, Video
  • Sunil Thulasidasan et al., ICML 2019
  • Keywords: Generalization
  • Presenter: Doyup Lee
  • [Top]

PR-177: Framing U-Net via Deep Convolutional Framelets

  • Paper1, Paper2, Video
  • Yoseob Han and Jong Chul Ye, IEEE Transactions on Medical Imaging, 2017
  • Jong Chul Ye et al., SIAM Journal on Imaging Sciences, 2017
  • Keywords: CNN, Image Restoration, Medical
  • Presenter: Byung-Hak Kim
  • [Top]

PR-178: Graph Convolutional Networks

  • Paper, Video
  • Thomas N. Kipf and MAx Welling, ICLR 2017
  • Keywords: Graph Networks, Semi-supervised Learning
  • Presenter: Taeoh Kim
  • [Top]

PR-179: M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention

  • Paper, Video
  • Shuang Ma et al., ICLR 2017
  • Keywords: Multimodal, Attention, Image Translation, Text-to-Speech, Vision and Language/Text
  • Presenter: Taesu Kim
  • [Top]

PR-180: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  • Paper, Video
  • Jonathan Frankle and Michael Carbin, ICLR 2019
  • Keywords: Network Compression
  • Presenter: Taekmin Kim
  • [Top]

PR-181: Data Shapley: Equitable Valuation of Data for Machine Learning

  • Paper, Video
  • Amirata Ghorbani and James Zou, ICML 2019
  • Keywords: Explainable ML, Generalization, Transfer Learning
  • Presenter: Jinsung Yoon
  • [Top]

PR-182: Deep Learning Ensemble Methods

  • Video
  • Keywords: Generalization, Regularization
  • Presenter: Jiwon Jung
  • [Top]

PR-183: MixNet: Mixed Depthwise Convolutional Kernels

  • Paper, Video (Will be Uploaded)
  • Mingxing Tan and Quoc V. Le, BMVC 2019
  • Keywords: NAS, Compression, Classification, Detection
  • Presenter: Jinwon Lee
  • [Top]

PR-184: And the Bit Goes Down: Revisiting the Quantization of Neural Networks

  • Paper, Video
  • Pierre Stock et al., Arxiv 2019
  • Keywords: Compression
  • Presenter: Young Seok Kim
  • [Top]

PR-185: RetinaFace: Single-stage Dense Face Localisation in the Wild

  • Paper, Video (Will be Uploaded)
  • Jiankang Deng et al., Arxiv 2019
  • Keywords: Human/Body/Face, Detection
  • Presenter: Jaewon Lee
  • [Top]

PR-186: Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

  • Paper, Video
  • Xun Huang et al., ICCV 2017
  • Keywords: Style-Transfer, Normalization
  • Presenter: Soyeon Kim
  • [Top]

PR-187: MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

  • Paper, Video
  • Ariel Gordon et al., CVPR 2018
  • Keywords: NAS, Compression
  • Presenter: Sunghoon Joo
  • [Top]

PR-188: Online Meta-Learning

  • Paper, Video
  • Chelsea Finn et al., ICML 2019
  • Keywords: Meta-Learning, Continual Learning
  • Presenter: Doyup Lee
  • [Top]

PR-189: Unsupervised Data Augmentation for Consistency Training

  • Paper, Video
  • Qizhe Xie et al., Arxiv 2019
  • Keywords: Semi-supervised Learning, Generalization
  • Presenter: Sungnam Park
  • [Top]

PR-190: A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

  • Paper, Video (Will be Uploaded)
  • Dan Hendrycks and Kevin Gimpel, ICLR 2017
  • Keywords: Anomaly Detection, Generalization
  • Presenter: MinGuk Kang
  • [Top]

PR-191: Learning Adversarially Fair and Transferable Representations

  • Paper, Video
  • David Madras et al., ICML 2018
  • Keywords: ML Fairness
  • Presenter: Byung-Hak Kim
  • [Top]

PR-192: MoCoGAN: Decomposing Motion and Content for Video Generation

  • Paper, Video
  • Sergey Tulyakov et al., CVPR 2018
  • Keywords: Generative Models, GANs, Video/Motion
  • Presenter: Taeoh Kim
  • [Top]

PR-193: NISP: Pruning Networks using Neuron Importance Score Propagation

  • Paper, Video
  • Ruichi Yu et al., CVPR 2018
  • Keywords: Network Compression
  • Presenter: Taesu Kim
  • [Top]

PR-194: TBD

PR-195: MixMatch: A Holistic Approach to Semi-Supervised Learning

PR-196: TBD

PR-197: TBD

PR-198: TBD

PR-199: TBD

PR-200: TBD

About

Youtube Deep Learning Presentation

Resources

Readme
Activity

Stars

0 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published