Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee
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Updated
May 22, 2023 - Jupyter Notebook
Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee
Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.
Dataset for 'Learning End-to-End Goal-Oriented Dialog with Multiple Answers' EMNLP 2018
NLP project to implement a Deep Neural Question Answering System utilizing Knowledge Graphs and Wikipedia Corpus
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)
Quantized Memory-Augmented Neural Networks (AAAI-18)
Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.
a tutorial for Differentiable Neural Computer (DNC) in python3
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
Projet de l'UE TC3 du M2AIC 2018-2018 sur le challenge bAbI
Augmentation scripts for the bAbI Dialog Tasks dataset
The implementation of key value memory networks in tensorflow
EntNet
PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.
TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'
Question Answering on bAbI using a single RNN
differentiable neural computers
Relation Memory Network
End-To-End Memory Network using Tensorflow
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