Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Semi-Conditional Normalizing Flows for Semi-Supervised Learning

1 May 2019

Alexandra Volokhova

Arsenii Ashukha

Dmitry Vetrov

Papers citing "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"

10 / 10 papers shown

Title
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization Mikhail Persiianov Arip Asadulaev Nikita Andreev Nikita Starodubcev Dmitry Baranchuk Anastasis Kratsios Evgeny Burnaev Alexander Korotin 27 0 0 03 Oct 2024
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 36 5 0 30 Nov 2022
A bridge between features and evidence for binary attribute-driven perfect privacy Paul-Gauthier Noé A. Nautsch D. Matrouf Pierre-Michel Bousquet J. Bonastre 49 6 0 12 Oct 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao Cees G. M. Snoek 8 19 0 02 Apr 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 40 111 0 30 Dec 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 33 198 0 24 May 2019