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casual-digressions's Introduction

Goku Mohandas

Recommendation Engines

Representation Learning

Text Classification

Seq-to-Seq Models (translation)

  • [Sequence to Sequence Learning with Neural Networks] (notes/seq_to_seq_rnn.md) [[arXiv] (https://arxiv.org/abs/1409.3215)]

  • [Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation] (notes/rnn_encode_decode.md) [[arXiv] (http://arxiv.org/abs/1406.1078)]

  • [Neural Machine Translation by Jointly Learning to Align and Translate] (notes/rnn_attention.md) [[arXiv] (http://arxiv.org/abs/1409.0473)] - Attention in RNNs

  • [On Using Very Large Target Vocabulary for Neural Machine Translation] (notes/rnn_softmax.md) [[arXiv] (http://arxiv.org/abs/1412.2007)] - Sampled Softmax

  • [Pointer Sentinel Mixture Models] (notes/pointer_sentinel.md) [arXiv]

  • [Context-Dependent Word Representation for Neural Machine Translation] (notes/context.md) [arXiv]

  • [Learning to Translate in Real-time with Neural Machine Translation] (notes/real_time_NMT.md) [arXiv]

  • [Fully Character-Level Neural Machine Translation without Explicit Segmentation] (notes/fully_char.md) [arXiv]

Neural Conversation Models / QA

  • [A Neural Conversational Model] (notes/conversation.md) [[arXiv] (http://arxiv.org/abs/1506.05869)]

  • End-To-End Memory Networks [arXiv]

  • [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing] (notes/ama.md) [arXiv]

  • [Dynamic Coattention Networks For Question Answering] (notes/coattention.md) [arXiv]

Reinforcement Learning

  • Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks [[arXiv] (http://arxiv.org/abs/1609.02993)]

  • Third Person Imitation Learning [arXiv]

Google DeepMind

Neural Turing Machines

Generative Adversarial Networks

Image Captioning

Optimization/Architecture

casual-digressions's People

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