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Hui Xiang's repositories

disentanglement_lib is an open-source library for research on learning disentangled representations.

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A machine translation reading list maintained by Tsinghua Natural Language Processing Group

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18.S096 - Applications of Scientific Machine Learning

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A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

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A curated list of awesome Distributed Deep Learning resources.

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some books

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Experiments from "The Description Length of Deep Learning Models"

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Must-read papers on graph neural networks (GNN)

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explore DNNs via Infomration

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This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

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Nonlinear Information Bottleneck

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A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

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Sparse Variational Dropout, ICML 2017

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Compressing Neural Networks using the Variational Information Bottleneck

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