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Divergence Frontiers for Evaluating Deep Generative Models

I was reading a collection of interesting papers on the evaluation of deep generative models, which I have summarised in the following slides .  The papers include:  Assessing Generative Models via Precision and Recall " (NeurIPS 2018) Precision-Recall Curves Using Information Divergence Frontiers  (AISTATS 2020) Divergence Frontiers for Generative Models:Sample Complexity, Quantization Effects,and Frontier Integrals  (NuerIPS 2021) MAUVE: Measuring the GapBetween Neural Text and Human Textusing Divergence Frontiers  (NuerIPS 2021)
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Monash staff travelling for business

  Please be aware that there has been updates to the travel information for Monash staff travelling for business in the following online sites: https://www.intranet.monash/ finance/our-services/monash- travel-page https://www.intranet.monash/ finance/our-services/monash- travel-page/domestic-travel- information https://www.intranet.monash/ finance/our-services/monash- travel-page/international- travel-information Also, have a look at the International COVID-19 Vaccination Passport site for Australian Government regulations: https://www.passports.gov.au/ international-covid-19- vaccination-certificate
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Sparse Multilingual NMT

 The idea is to use a sprase and big architecture for multilingual NMT. This will mirror the pathway architecture for large-scale evolving multitask learning systems. 
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Video Encoders

 Is Space-Time Attention All You Need for Video Understanding? A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
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Explainable AI

 From Probability to Consilience:How Explanatory Values Implement Bayesian Reasoning On quantitative aspects of model interpretability Cognitive Perspectives on Context-based Decisions and Explanations From Human Explanation to Model Interpretability:A Framework Based on Weight of Evidence Manipulating and Measuring Model Interpretability Interpretable Machine Learning: FundamentalPrinciples and 10 Grand Challenges
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Document Machine Translation

 Measuring and Increasing Context Usage inContext-Aware Machine Translation
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Numerical Reasoning

 Injecting Numerical Reasoning Skills into Language Models
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