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Deep Learning Papers

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

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