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[공지] 논문 발표 리스트

음파선생 2018.01.26 11:28 조회 수 : 6285

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


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



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




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


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

번호 제목 글쓴이 날짜 조회 수
» [공지] 논문 발표 리스트 음파선생 2018.01.26 6285
공지 게시판 자료 복구의 건 음파선생 2017.09.11 449
245 [논문 반]Communication-Efficient Learning of Deep Networks from Decentralized Data file MINI 2020.04.06 16
244 [논문 반]Once For All: Train One Network and Specialize It for Efficient Deployment file MINI 2020.02.17 241
243 [논문 반]On-Device Neural Net Inference with Mobile GPUs MINI 2020.02.15 92
242 [논문반] Quantization and Training of Neural Network for Efficient Integer-Arithmetic-Only Inference file MINI 2019.11.26 364
241 [논문반]Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Image file Dragon 2019.09.10 282
240 [논문반] MnasNet: Platform-Aware Neural Architecture Search for Mobile file MINI 2019.08.28 555
239 [공지] 논문 발표 리스트(2020) 백병인 2019.08.26 1958
238 [논문반] Modeling Uncertainty with Hedged Instance Embedding file MINI 2019.07.16 342
237 [논문반] Neural Adaptive Content-aware Internet Video Delivery file MINI 2019.06.12 399
236 [논문반]Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images file Dragon 2019.06.11 174
235 [논문반] Conditional Image Generation with PixelCNN decoders file MINI 2019.04.29 810
234 [논문반]Prostate Segmentation using 2D Bridged U-net file Dragon 2019.04.23 150
233 Exploring Randomly Wired Neural Networks for Image Recognition file ilguyi 2019.04.10 372
232 [논문반] Adversarial Autoencoders file MINI 2019.03.18 689
231 [논문반]Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks file Dragon 2019.03.12 161
230 [논문반] Dendritic cortical microcircuits approximate the backpropagation algorithm file 백병인 2019.02.18 247
229 [논문반] Pelee: A Real-Time Object Detection System on Mobile Devices file MINI 2019.02.11 562
228 [논문반]Video to Video file 오디 2019.02.11 262
227 [논문반]GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification file Dragon 2019.01.29 906
226 [논문반] AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery file 스마트디바이스 2019.01.28 355