Readings for the Deep Learning Course at IIT in second semester of 2016-2017 under Prof. Parag Singla Papers included(in order as the numbering of the filenames):
- Deep Residual Learning for Image Recognition
- Attention Is All You Need
- Deep Learning for Extreme Multi-label Text Classification
- WAVENET: A GENERATIVE MODEL FOR RAW AUDIO
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- Structured prediction models for RNN based sequence labeling in clinical text
- Neural Turing Machines
- End-To-End Memory Networks
- Generative Adversarial Nets
- Auto-Encoding Variational Bayes
- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- Asynchronous Methods for Deep Reinforcement Learning