Introduction

This is a repository containing all the papers that I enjoyed reading. (still adding papers). In addition, resources which helped me in understanding each paper are also listed. If you wish to add papers that you liked, or your work, please submit a pull request including as many links as you can find related to the said paper.

Reinforcement Learning | Generative Models | Semantic Segmentation | Image Recognition | Language | Metrics

Reinforcement Learning

Generative Adversarial Imitation Learning (GAIL)
Paper | Code | Blog

Playing Atari with Deep Reinforcement Learning
Paper | ShortScience | Code

Temporal Difference ModelsLModel-Free Deep RL for Model-Based Control
Paper | Code | OpenReview

Hindsight Experience Replay
Paper | code

Dueling Network Architectures for Deep Reinforcement Learning
Paper | Code

Rainbow: Combining Improvements in Deep Reinforcement Learning
Paper | Code

Asynchronous Methods for Deep Reinforcement Learning
Paper | Medium link w/ code

Deep Deterministic Policy Gradient
Paper | Code | Blog

Prioritized Experience Replay
Paper | Code | Blog

Universal Agent for Disentangling Environments and Task
Paper

Generative Adversarial Imitation Learning
Paper | Code | Blog

Generative Models

Generative Adversarial Networks
Paper | Code & Blog

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGAN)
Paper | Code | Blog

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)
Paper | Blog & Code

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

Toward Multimodal Image-to-Image Translation
Paper | Code

Image-to-Image Translation with Conditional Adversarial Networks
Paper | Code

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Paper | Code

Fader Networks: Manipulating Images by Sliding Attributes
Paper | Code | Blog on disentangling latent space

Wasserstein GAN
Paper | Code | Blog

Improved Training of Wasserstein GANs
Paper | Code | Blog | Reddit

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Paper | Code

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Paper | Code

Progressive GANs
Paper | Code | OpenReview

Semantic Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper | My Implementation (TensorFlow)

Fully Convolutional Networks for Semantic Segmentation
ArXiV | TensorFlow Implementation

PixelNet: Towards a General Pixel-level Architecture
ArXiV | Code

Hypercolumns for Object Segmentation and Fine-grained Localization
ArXiV | Official Code

DeepLab - Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
ArXiV | Official TensorFlow code

Image Recognition

Densely Connected Convolutional Networks
Paper | PyTorch Implementation

ImageNet Classification with Deep Convolutional Neural Networks
Paper

Resnet - Deep Residual Learning for Image Recognition
ArXiV

Going Deeper with Convolutions
ArXiV

Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG)
ArXiV

Language

Word2Vec
Paper

Skip Thought Vectors
Paper | Official Code

GloVe
Official Page

Multimodal

GradCAM
Paper | Code

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Paper | Official Code - Caffe | PyTorch

Metrics

Frechet Inception Distance
Paper | Code

BLEU
Paper

METEOR
Paper

ROUGE
Paper

CIDEr
Paper