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발표 순서 재조정
김승일, 이일구, 백병인, 홍기호, 한성국, 이동훈, 김정석, 박두호, 최병국, 현청천, 최민영, 정규민, 장주영, 이혜민
====
정자민, 전인태, 김혜린, 박상진, 구태훈, 고병건, 박철, 이용근, 김일승, 김종목, 하종수, 신현철
====
4월 8일 : 조원양, 이일구
High Performance Visual Tracking with Siamese Region Proposal Network
Exploring Randomly Wired Neural Networks for Image Recognition
4월 1일 : 한성국, 홍기호
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Do Better ImageNet Models Transfer Better?
3월 25일 : 백병인, 이동훈
GPT-2를 비롯하여 그동안 NLP 연구 흐름
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
3월 18일 : 이혜민, 이동열
Adversarial Autoencoders
Bayesian Convolutional Neural Networks with Variational Inference
3월 11일 : 김정석, 장주영
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
Convolutional CRFs for Semantic Segmentation
3월 4일 : 이일구, 홍기호
Invertible Residual Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
2월 25일 : 한성국, 이동훈
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
WaveGlow
2월 18일 : 백병인, 김승일
Dendritic cortical microcircuits approximate the backpropagation algorithm
Audio Synthesis using Generative Models
2월 11일 : 장주영, 이혜민
Video-to-Video Synthesis
Pelee: A Real-Time Object Detection System on Mobile Devices
2월 4일 : 설연휴
1월 28일 : 최병국, 김정석
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
1월 21일 : 이일구, 현청천
How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
1월 14일 : 이동훈, 홍기호
Glow: Generative Flow with Invertible 1x1 Convolutions
Domain Adaptive Transfer Learning with Specialist Models
1월 7일 : 김승일, 한성국
BERT : Pre-training of Deep Bidirectional Transformer for Language Understanding
Universal Transformers
======== 2019년 ========
12월 3일 : 이일구, 백병인
An overview of gradient descent optimization algorithms
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
11월 26일 : 박두호, 현청천
DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
Efficient and Robust Question Answering from Minimal Context over Documents
11월 19일 : 김정석, 최병국
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
DroNet: Learning to Fly by Driving
11월 12일 : 이일구, 홍기호
NICE: Non-linear Independent Components Estimation
Wide Residual Networks
11월 5일 : 한성국, 이동훈
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Spherical CNNs
10월 29일 : 현청천, 이일구
Deep contextualized word representations
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
10월 22일 : 김승일, 백병인
lip reading sentences in the wild
Self-Attention with Relative Position Representations
10월 8일 : 박두호, 이동훈
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Can recurrent neural networks warp time?
10월 1일 : 한성국, 최병국
Sequence Modelling with Memory-Augmented Recurrent Neural Networks
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
## Attention 관련 논문 시리즈
9월 17일 : 홍기호, 김정석
CBAM: Convolutional Block Attention Module
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
9월 10일 : 장주영, 백병인
A Decomposable Attention Model for Natural Language Inference
Strunctured Attention Network (백병인)
Attention is all you need (백병인)
9월 3일 : 김은지, 이동훈
Neural machine translation by jointly learning to align and translate
Show attend and tell
## Attention 관련 논문 시리즈
8월 27일 : 박두호, 김일승
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
ShuffleNet V2
8월 20일 : 한성국, 이동훈
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
이동훈님 두개 요약발표
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
8월 13일 : 김일승, 이일구
Context-aware Deep Feature Compression for High-speed Visual Tracking
Demystifying Neural Style Transfer
8월 6일 : 홍기호
Why do deep convolutional networks generalize so poorly to small image transformations?
7월 30일 : 휴가
7/23 : 백병인, 김정석
Model-based Reinforcement Learning Survey
## Generative Adversarial Network 시리즈
7/16 김혜린,
Domain Adaptation, Domain transfer using GAN
7/9 김승일, 박두호, 장주영
Self-Attention Generative Adversarial Networks
Progressive Growing of GANs
StarGAN
7/2 이일구, 이동훈
Generative Adversarial Network Intro (gan, dcgan, cgan, infogan, bigan, wgan, began, pix2pix, cyclegan)
Generative Adversarial Network Intro (lsgan, fgan, unrolledgan, wgan)
## Generative Adversarial Network 시리즈
6/25 진영재, 한성국
6/18 정자민, 강병익
MobileNetV2: Inverted Residuals and Linear Bottlenecks
6/11 조익연, 이정은
6/4 고병건, 박상진
Convolutional Neural Networks Applied to High-Frequency Market Microstructure Forecasting
5/28 곽대훈, 이동훈
Born Again Neural Networks
Learning Beyond Human Expertise with Generative Models for Dental Restorations
5/21 구태훈, 전인태
Prioritized experience replay
5/14 이상헌, 홍기호
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Large-Scale Image Retrieval with Attentive Deep Local Features
4/30 이일구, 백병인
Thinking Fast and Slow with Deep Learning and Tree Search
A Closed-form Solution to Photorealistic Image Stylization
4/23 김승일, 이동훈
Tacotron 2
Deep Voice 2, 3
4/16 김승일, 이동훈
Tacotron : Towards End-to-End Speech Synthesis
Deep Voice
4/9 김영주, 김혜린
Neural Machine Translation by Jointly Learning to Align and Translate
Visual attribute transfer through deep image analogy
4/2 한성국, 곽대훈
Poincare Embeddings for Learning Hierarchical Representations
Lifelong Learning with Dynamically Expandable Networks
3/26 김정석, 진영재
Deep Learning in RF Sub-sampled B mode Ultrasound Imaging
3/19 정자민, 강병익
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Networks (ICCV 2017)
3/12 이동석, 김지훈
Squeeze-and-Excitation Networks
Spherical CNNs
3/5 이동훈, 홍기호
Q-Learning-based financial trading systems with applications
Deep Metric Learning via Facility Location
2/26 전인태, 이상헌
Blockchain and Artificial Intelligence (II)
Multi-View 3D Object Detection Network for Autonomous Driving
2/19 전인태, 한성국
Blockchain and Artificial Intelligence (I)
The Numerics of GANs
2/12 곽대훈, 김승일
Gradient Episodic Memory for Continual Learning
Deep Learning vs Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model
2/5 전체회식
1/29 강병익, 이일구
BlitzNet: A Real-Time Deep Network for Scene Understanding
Visualizing the Loss Landsacpe of Neural Nets
1/22 김정석, 정자민
Interpretable Deep Models for ICU Outcome Prediction
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3D Bounding Boxes in Traffic Surveillance
1/15 김지훈, 이상헌
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (Part II)
1/8 김승일, 이상헌
Connecting Generative Adversarial Networks and Actor-Critic Methods
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (Part I)
======== 2018년 ========
12/25 모두연 송년파티 (예정)
12/18 한성국, 이동훈
A Hybrid Convolutional Variational Autoencoder for Text Generation
Matrix Capsules with EM Routing
12/11 이영한, 홍기호
Deep Voice 3: 2000-Speaker Neural Text-to-Speech
Building Mobile Applications of TensorFlow
12/4 강병익, 이일구
Enhanced Deep Residual Networks for Single Image Super-Resolution
Generative Adversarial Networks: An Overview
11/27 박상진, 정자민
Capsule Net
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
11/20 양종렬, 손준영
Deep Learning for Event-Driven Stcok Prediction
Image Captioning and Classification of Dangerous Situations
11/3 김지훈, 이상헌
Towards Principled Methods for Training Generative Adversarial Networks
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
11/6 이영한, 김정석
Look, Listen and Learn
Spectral Graph Convolutions for Population-based Disease Prediction
10/30 고민수, 홍기호
Learning by Association A versatile semi-supervised training method for neural networks
Learning From Noisy Large-Scale Datasets With Minimal Supervision
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