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Generative adversarial nets by Jaejun Yoo (2017/4/13)

Deformable Convolutional Networks (2017)

Learning phrase representations using RNN encoder-decoder for statistical machine translation

Image Super-Resolution Using Deep Convolutional Networks

Playing Atari with Deep Reinforcement Learning (NIPS 2013 Deep Learning Workshop)

Neural Turing Machine

Deep Photo Style Transfer

Reverse Classification Accuracy(역분류 정확도)

Distilling the Knowledge in a Neural Network (Slide: English, Speaking: Korean)

Auto-Encoding Variational Bayes, ICLR 2014

Spatial Transformer Networks

Faster R-CNN : Towards Real-Time Object Detection with Region Proposal Networks

Domain Adversarial Training of Neural Network

On Human Motion Prediction using RNNs (2017)

Convolutional Neural Networks for Sentence Classification

You only look once: Unified, real-time object detection

Neural Architecture Search with Reinforcement Learning

A Simple Neural Network Module for Relational Reasoning (DeepMind)

Continuous Control with Deep Reinforcement Learning

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

Batch Normalization

InfoGAN (OpenAI)

YOLO9000: Better, Faster, Stronger

Pixel Recurrent Neural Network

Learning with side information through modality hallucination (2016)

Notes for CVPR Machine Learning Session

loVe - Global vectors for word representation

Densely Connected Convolutional Networks (CVPR 2017, Best Paper Award) by Gao Huang et al.

Apprenticeship Learning via Inverse Reinforcement Learning

Photo-Realistic Single Image Super Resolution Using a Generative Adversarial Network

Learning to learn by gradient descent by gradient descent

Deep Visual-Semantic Alignments for Generating Image Descriptions

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

Inception and Xception

Understanding Black-box Predictions via Influence Functions

Learning to Remember Rare Events

Ask me anything: Dynamic memory networks for natural language processing

Explaining and Harnessing Adversarial Examples

Dropout as a Bayesian approximation

WaveNet - A Generative Model for Raw Audio

Show and Tell: A Neural Image Caption Generator

Adam: A Method for Stochastic Optimization

HyperNetworks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

DeepLab: Semantic Image Segmentation

Deep Knowledge Tracing

Learning Deep Features for Discriminative Localization

Towards Principled Methods for Training Generative Adversarial Networks

Attention is All You Need

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Conditional Generative Adversarial Nets

Mastering the game of GO without human knowledge

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

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Neural Machine Translation by Jointly Learning to Align and Translate

Capsule Network

Mask R-CNN

The Consciousness Prior

Style Transfer from Non-Parallel Text by Cross-Alignment

Deep Neural Networks for YouTube Recommendations

Understanding Deep Learning Requires Rethinking Generalization

Deep Learning: A Critical Appraisal

Peephole: Predicting Network Performance Before Training

Wide & Deep Learning for Recommender Systems

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Don't decay the learning rate, increase the batch size

Audio Super Resolution using Neural Nets

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Efficient Neural Architecture Search via Parameter Sharing

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

Categorical Reparameterization with Gumbel Softmax

Deep Compression

Generative Semantic Manipulation with Contrasting GAN

ObamaNet: Photo-realistic lip-sync from text

On Calibration of Modern Neural Networks (2017)

Distributed Representations of Sentences and Documents

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Net2Net: Accelerating Learning via Knowledge Transfer

Synthesizing Audio with Generative Adversarial Networks

Practical Bayesian Optimization of Machine Learning Algorithms

Machine Theory of Mind

Introduction to Speech Separation

Non-local Neural Networks

PR-084 MegDet: A Large Mini-Batch Object Detector (CVPR2018)

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

PR-086: Curriculum Learning

PR-087: Spectral Normalization for Generative Adversarial Networks

PR-088: Deep Variational Bayes Filters (2017)

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

PR-090: Representation Learning by Learning to Count

PR-091: A Universal Music Translation Network

PR-092: Distributed Training of Neural Networks

PR-094: Model-Agnostic Meta-Learning for fast adaptation of deep networks

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

PR-096: Taskonomy: Disentangling Task Transfer Learning

PR-097: Learning Representations for Counterfactual Inference

PR-098: MegaDepth: Learning Single-View Depth Prediction from Internet Photos (CVPR2018)

PR-099: MRNet-Product2Vec

PR100: SeedNet