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발표순서 :

김승일, 홍기호, 고민수, 한성국, 이상헌, 이영한, 김지훈, 김정석, 이일구, 한영일, 송준호, 고정섭, 박상진, 이동훈, 박우진, 천복기, 이동석, 곽대훈, 배웅, 박정훈, 양종열, 김권현, 박은수, 정자민, 강병익

 

11/27 정자민, 강병익

 

11/20 손준영, 양종렬

 

11/3 김지훈, 이상헌

 

11/6 김정석, 이영한

 

10/30 홍기호, 고민수

 

10/23 박은수, 김승일

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

A Tutorial on Deep Learning for Music Information Retrieval

 

10/16 이동훈(2부), 이동석

EraseReLU : A SIMPLE WAY TO EASE THE TRAINING OF DEEP CONVOLUTION NEURAL NETWORKS

계속

 

9/25 박상진, 이동훈

Faster R-CNN

Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation

 

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

A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS

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

 

6/19

이일구, 조용래님

Self-Nomalizing Neural Networks

A simple neural network module for relational reasoning

 

6/12

서기호, 이상헌님

Neural Architecture Search with Reinforcement Learning

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

 

6/5

한성국, 김선훈님

Bayesian Recurrent Neural Networks

Controllable Text Generation

 

5/29

백병인, 고민수님

Continual Learning with Deep Generative Replay

Understanding Deep Learning Requires Rethinking Generalization

 

5/22

김승일, 홍기호님

Continuous Control with Deep Reinforcment Learning

Convolutional Sequence to Sequence Learning

 

5/15

이영한, 김정석님

Distilling the Knowledge in a Neural Network

Interpretable Deep Models for ICU Outcome Prediction

 

5/8

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 : https://arxiv.org/pdf/1703.02620.pdf

Mask R-CNN https://arxiv.org/abs/1703.06870

 

4/10 - 김승일, 홍기호님

SEGAN : Speech Enhancement Generative Adversarial Network

논문링크 : https://arxiv.org/abs/1703.09452

NIPS2016 Tutorial : Variational Inference 2부

링크 : https://nips.cc/Conferences/2016/Schedule?type=Tutorial

 

4/3 - 백병인, 이상헌님

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

논문 링크 : https://arxiv.org/abs/1703.04474

Learning Spatiotemporal Features with 3D Convolutional Networks

논문 링크 : https://arxiv.org/abs/1412.0767

 

3/27 - 김태완, 이일구님

YOLO9000 : Better, Faster, Stronger

https://arxiv.org/abs/1612.08242

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

https://arxiv.org/pdf/1703.05192.pdf

 

3/20 - 성태경, 이용근님

LipNet : End-to-End Sentence-Level Lipreading https://arxiv.org/abs/1611.01599

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving https://arxiv.org/abs/1612.01051

 

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

NeuralModuleNetworks

 

=====

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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