Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

12 July 2020

Papers citing "Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model"

10 / 10 papers shown

Title
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 79 210 0 29 May 2019
Neural Message Passing for Multi-Label Classification Jack Lanchantin Arshdeep Sekhon Yanjun Qi 59 38 0 17 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 93 1,001 0 07 Apr 2019
Multi-label Learning with Missing Labels using Mixed Dependency Graphs Baoyuan Wu Fan Jia Wen Liu Guohao Li Siwei Lyu 43 86 0 31 Mar 2018
End-to-End Learning for the Deep Multivariate Probit Model Di Chen Yexiang Xue Carla P. Gomes 47 22 0 22 Mar 2018
Deep Multi-Species Embedding Di Chen Yexiang Xue Shuo Chen Daniel Fink Carla P. Gomes 35 48 0 28 Sep 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification Jiang Wang Yi Yang Junhua Mao Zhiheng Huang Chang Huang Wenyuan Xu SSL 90 1,163 0 15 Apr 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 84 1,259 0 07 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Large-scale Multi-label Learning with Missing Labels Hsiang-Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon MQ 80 493 0 18 Jul 2013