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발표순서 :

이용근, 김승일, 홍기호, 고민수, 김선훈, 한성국, 이상헌, 서기호, 최윤규, 조용래, 이영한, 김지훈, 김정석, 이일구, 백병인, 조익연, 한영일, 송준호, 고정섭, 박상진, 이동훈, 원웅재, 박우진, 천복기, 이동석, 곽대훈, 배웅, 박정훈, 양종열, 김권현


9/25 박상진, 이동훈


9/18 한영일, 송준호

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

Understanding deep learning requires rethinking generalization


9/11 이일구, 조익연

How does physics connect to machine learning?

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning


9/4 김정석, 김지훈 part 2

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks


8/28, 이상헌, 김지훈

End-to-end Learning of Driving Models from Large-scale Video Datasets

Understanding Black-box Predictions via Influence Functions


8/21 조용래, 이영한


Delving into Transferable Adversarial Examples and Black-box Attacks


8/14 이동훈, 김선훈, 한성국 서기호, 최윤규 

One-shot imitation learning

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera


8/7 홍기호, 고민수

Beyond instance-level image retrieval: Leveraging human captions to learn representations for semantic visual search

Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition


7/31 이용근, 김승일

Densely Connected Convolutional Networks

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments


7/24 고정섭, 박상진

In-Datacenter Performance Analysis of a Tensor Processing Unit​

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation


7/17 한영일, 송준호

Very Deep Convolutional Networks for Text Classification

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era


7/10 백병인, 조익연

Attention is all you need

One Model to Learn Them All


7/3 이영한, 김정석님

Tacotron: Towards End-to-End Speech Synthesis

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans


6/26 김지훈님

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields



이일구, 조용래님

Self-Nomalizing Neural Networks

A simple neural network module for relational reasoning



서기호, 이상헌님

Neural Architecture Search with Reinforcement Learning

Brain4Cars: Car that knows before you do via Sensory-Fusion Deep Learning Architecture



한성국, 김선훈님

Bayesian Recurrent Neural Networks

Controllable Text Generation



백병인, 고민수님

Continual Learning with Deep Generative Replay

Understanding Deep Learning Requires Rethinking Generalization



김승일, 홍기호님

Continuous Control with Deep Reinforcment Learning

Convolutional Sequence to Sequence Learning



이영한, 김정석님

Distilling the Knowledge in a Neural Network

Interpretable Deep Models for ICU Outcome Prediction



홍순원님, 서기호님

Neural audio synthesis of musical notes with WaveNet autoencoders

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving


4/24 - 이일구, 한영일님

Auto-Encoding Variational Bayes

Tutorial on Variational Autoencoders

Show and Tell: A Neural Image Caption Generator

Show, Attend and Tell : Neural Image Caption Generation with Visual Attention

DenseCap: Fully Convolutional Localization Networks for Dense Captioning


4/17 - 고민수, 한성국님

Linguistic Knowledge as Memory for Recurrent Neural Networks :

Mask R-CNN


4/10 - 김승일, 홍기호님

SEGAN : Speech Enhancement Generative Adversarial Network

논문링크 :

NIPS2016 Tutorial : Variational Inference 2부

링크 :


4/3 - 백병인, 이상헌님

DRAGNN - A Transition-based Framework for Dynamically Connected Neural Network

논문 링크 :

Learning Spatiotemporal Features with 3D Convolutional Networks

논문 링크 :


3/27 - 김태완, 이일구님

YOLO9000 : Better, Faster, Stronger

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN)


3/20 - 성태경, 이용근님

LipNet : End-to-End Sentence-Level Lipreading

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving


3/13 - 홍순원님, 이영한님

PathNet : Evolution Channels Gradient Descent in Super Neural Networks

Matching Networks for One shot learning


3/6 - 고민수님, 김정석님

Image-to-Image Translation with Conditional Adversarial Networks

Learning the Number of Neurons in Deep Networks


2/27일 - 한성국님

NIPS Tutorial : Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity


2/20일 - 김승일님

NIPS Tutorial : Deep Reinforcment Learnining through Policy Optimization


2/13일 - 홍기호님

NIPS Tutorial : Variational Inference - Foundations and Modern Methods


2/6일 - 이일구님

NIPS Tutorial : Generative Adversarial Networks (Ian Goodfellow)


1/23일 - 이용근님, 김승일님

Identity Mappings in Deep Residual Network

One-Shot Learning with Memory-Augmented Neural Networks


1/16일 - 김정석님, 한성국님

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Recurrent Highway Networks


1/9일 - 이영한님 , 고민수님

Phased LSTM

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1


1/2일 -  홍기호님, 서기호님

Swivel: Improving Embeddings by Noticing What's Missing

Learning to Compose Neural Networks for Question Answering




기존의 발표논문 리스트 (~2016.12)

- SampleRNN : An Unconditional End-to-End Neural Audio Generation Model

- Swapout: Learning an ensemble of deep architectures

- Adversarially Learned Inference

- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size  (revisited)

- Learning Fine-grained Image Similarity with Deep Ranking

- Particular object retrieval with integral max-pooling of CNN activations

- Generative Adversarial Text to Image Synthesis

- Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

- Asynchronous Methods for Deep Reinforcement Learning

- Deep Reinforcement Learning with Double Q-Learning

- Learning Deep Features for Discriminative Localization

- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

- Visual Fashion-Product Search at SK Planet

- A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

- Deep Neural Network for Real-Time Autonomous Indoor Navigation

- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

- Using Fast Weights to Attend to the Recent Past

- Learning both Weights and Connections for Efficient Neural Networks

- hybrid Computing using a neural network with dynamic memory

- Reward augmented maximum likelihood for neural structured prediction

- Intriguing properties of neural networks

- A Fully Convolutional Neural Network for Speech Enhancement

- Human-level control through deep reinforcement learning (DQN)

- Decoupled Neural Interfaces using Synthetic Gradients

- Wavenet

- Q-Learning

- Deep Speech 2

- Image Segmentation 총정리 :

- Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform

- Multi-view Face Detection using Deep Convolutional Neural Networks

- A Convolutional Neural Network Cascade for Face Detection

- Inside-Outside Net : Detecting Objct in Context with Skip Pooling and Recurrent Neural Networks

- TensorFlow: A system for large-scale machine learning

- Perceptual Losses for Real-Time Style Transfer and Super-Resolution

- Inception Trilogy 1,2,3편

- OpenFace

- Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System

- Deep Speech: Scaling up end-to-end speech recognition

- SSD : Single Shot MultiBox Detector

- A Fast and Accurate Dependency Parser using Neural Networks

- Adieu Features? End-to-End Speech Emotion Recognition using a Deep Convolutoinal Recurrent Network

- Deep Learning for Robust Feature Generation in AudioVisual Emotion Recognition

- Video Emotion Recognition with Transferred Deep Feature Encodings

- Deep Network with Stochastic Depth

- Towards Good Practices for Very Deep Two-Stream ConvNets

- Deep Metric Learning using TripleNet Network

- Delving Deeper into Convolutional Networks for Learning Video Representations

- Learning Spatiotemporal Features with 3D Convolutional Networks

- Multi-Scale Context Aggregation by Dialated Convolutions

- Colorful Image Colorization

- SqeezeNet : AlexNet-Level Accuracy with 50x Fewer Parameters and 1MB Model Size

- Word2Vec

- U-Net : Convolutional Networks for Biomedical Image Segmentation

- Exploring the Neural Algorith of Artistic Style

- VGGNet and ResNet

- Recurrent Memory Network for Language Modeling

- Grid Long Short-Term Memory

- Learning Deconvolution Network for Semantic Segmentation

- Fully Convolutional Networks for Semantic Segmentation

- You Only Look Once - Unified Real Time Object Detection

- Texture Synthesis using Convolutional Neural Networks

- Unsupervised Representation Learning with Deep Convolution Generative Adversarial Networks

- Spatial Transformer Networks

- Generating Images from Captions with Attention

- Generating Sequences with Recurrent Neural Networks

- End-to-End Memory Networks

- AlexNet

- Overfeat : Integrated Recognition, Localization and Detection using Convolutional Networks

- Recommender System using Deep Learning

- Restricted Boltzmann Machines for Collaborative Filtering

- Collaborative Deep Learning for Recommender Systems

- Deep Content-Based Music Recommendataion

- A Neural Algorithm of Artistic Style

- A Unified Framework for Automatic Wound Segmentation and Analysis with Deep Convolutional Neural Network


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