crosofg/papers

Summaries of machine learning papers

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This repository contains short summaries of some machine learning papers.

• Added 2017/08/08:

  • Multi-view Face Detection Using Deep Convolutional Neural Networks (aka DDFD)

• Added 2017/06/11:

  • On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
  • BEGAN
  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
  • Self-Normalizing Neural Networks
  • Wasserstein GAN (aka WGAN)

• Added 2017/03/15:

  • YOLO9000: Better, Faster, Stronger (aka YOLOv2)
  • You Only Look Once: Unified, Real-Time Object Detection (aka YOLO)
  • PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection

• Added 2017/03/14:

  • R-FCN: Object Detection via Region-based Fully Convolutional Networks
  • Faster R-CNN
  • Fast R-CNN
  • Rich feature hierarchies for accurate object detection and semantic segmentation (aka R-CNN)
  • Ten Years of Pedestrian Detection, What Have We Learned?
  • Instance Normalization: The Missing Ingredient for Fast Stylization

• Added 2016/07/29:

  • Stacked Hourglass Networks for Human Pose Estimation
  • DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  • Character-based Neural Machine Translation

• Added 2016/07/01:

  • Convolutional Pose Machines
  • HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
  • Face Attribute Prediction Using Off-the-Shelf CNN Features
  • CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
  • Conditional Image Generation with PixelCNN Decoders
  • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  • Improved Techniques for Training GANs
  • Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

• Added 2016/06/06:

  • FractalNet: Ultra-Deep Neural Networks without Residuals
  • PlaNet - Photo Geolocation with Convolutional Neural Networks
  • Adam: A Method for Stochastic Optimization
  • Generating images with recurrent adversarial networks
  • Adversarially Learned Inference

• Added 2016/06/02:

  • Resnet in Resnet: Generalizing Residual Architectures
  • Rank Ordered Autoencoders
  • Wide Residual Networks
  • Identity Mappings in Deep Residual Networks
  • Swapout: Learning an ensemble of deep architectures
  • Multi-Scale Context Aggregation by Dilated Convolutions
  • Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints
  • Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

• Added 2016/05/15:

  • Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artwork
  • Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
  • Accurate Image Super-Resolution Using Very Deep Convolutional Networks
  • Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
  • Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
  • Let there be Color

• Added 2016/05/08:

  • Artistic Style Transfer for Videos

• Added 2016/05/03:

  • Playing Atari with Deep Reinforcement Learning
  • Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
  • SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
  • Noisy Activation Functions
  • DenseCap: Fully Convolutional Localization Networks for Dense Captioning

• Added 2016/04/01:

  • Deep Networks with Stochastic Depth

• Added 2016/03/31:

  • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
  • DRAW A Recurrent Neural Network for Image Generation
  • Generating Images with Perceptual Similarity Metrics based on Deep Networks
  • Generative Moment Matching Networks
  • Pixel Recurrent Neural Networks
  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

• Added 2016/03/??:

  • A Neural Algorithm for Artistic Style
  • Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
  • Deep Residual Learning for Image Recognition
  • Fast and Accurate Deep Networks Learning By Exponential Linear Units (ELUs)
  • Fractional Max-Pooling
  • Generative Adversarial Networks
  • Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  • Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks