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1. acl18_results acl18_results Public

   Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

   33 7

2. np_analysis np_analysis Public

   Adversarial attacks generated for the ACL paper "Did the Model Understand the Question?"

   Jupyter Notebook 8 2

3. visual_qa_analysis visual_qa_analysis Public

   Adversarial attacks for a Visual Question Answering model generated for the ACL 2018 paper "Did the Model Understand the Question?"

   HTML 4 2

4. models models Public

   Forked from tensorflow/models

   Models built with TensorFlow

   Python

5. MultiscaleRNN MultiscaleRNN Public

   Forked from HanqingLu/MultiscaleRNN

   This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?id=S1di0sfgl).

   Python

6. hierarchical-rnn hierarchical-rnn Public

   Forked from nsfinkelstein/hierarchical-rnn

   Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

   Jupyter Notebook