[ { "KL": 5.7, "NLL": 326.7, "Perplexity": 59.7, "code_links": [ { "title": "jxhe/vae-lagging-encoder", "url": "https://github.com/jxhe/vae-lagging-encoder" } ], "date": "2019-01-16", "date2": 20190116, "model": "Aggressive VAE", "paper": { "title": "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders", "url": "https://cknow.io/lib/c9604acd992e5c3b" }, "paper_data_uoa": "c9604acd992e5c3b" }, { "KL": 7.19, "NLL": 327.5, "Perplexity": 60.4, "code_links": [ { "title": "harvardnlp/sa-vae", "url": "https://github.com/harvardnlp/sa-vae" } ], "date": "2018-02-07", "date2": 20180207, "model": "SA-VAE", "paper": { "title": "Semi-Amortized Variational Autoencoders", "url": "https://cknow.io/lib/3f145f78df2436b0" }, "paper_data_uoa": "3f145f78df2436b0" }, { "KL": 10, "NLL": 332.1, "Perplexity": 63.9, "code_links": [ { "title": "harvardnlp/sa-vae", "url": "https://github.com/harvardnlp/sa-vae" }, { "title": "kefirski/contiguous-succotash", "url": "https://github.com/kefirski/contiguous-succotash" }, { "title": "ryokamoi/dcnn_textvae", "url": "https://github.com/ryokamoi/dcnn_textvae" } ], "date": "2017-02-27", "date2": 20170227, "model": "CNN-VAE", "paper": { "title": "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions", "url": "https://cknow.io/lib/7d81a76a42f8b37c" }, "paper_data_uoa": "7d81a76a42f8b37c" } ]