Multimodal Generative Models for Scalable Weakly-Supervised Learning

14 February 2018

Papers citing "Multimodal Generative Models for Scalable Weakly-Supervised Learning"

26 / 176 papers shown

Title
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models Yuge Shi Brooks Paige Philip Torr N. Siddharth VLM 34 36 0 02 Jul 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 39 67 0 15 Jun 2020
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning Miguel Vasco Francisco S. Melo Ana Paiva DRL 6 11 0 04 Jun 2020
Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation Shizhu Liu Shanglin Yang Hui Zhou GAN 8 1 0 13 Apr 2020
Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework Yaochen Zhu Jiayi Xie Zhenzhong Chen 14 22 0 28 Mar 2020
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization Kaichen Zhou Changhao Chen Bing Wang Muhamad Risqi U. Saputra Niki Trigoni Andrew Markham 13 20 0 12 Mar 2020
Variational Item Response Theory: Fast, Accurate, and Expressive Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman OffRL 48 53 0 01 Feb 2020
Multimodal Data Fusion based on the Global Workspace Theory C. Bao Zafeirios Fountas Temitayo A. Olugbade N. Bianchi-Berthouze 33 7 0 26 Jan 2020
Multimodal Generative Models for Compositional Representation Learning Mike Wu Noah D. Goodman GAN DRL 43 17 0 11 Dec 2019
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset Desmond C. Ong Zhengxuan Wu Zhi-Xuan Tan Marianne C. Reddan Isabella Kahhale Alison Mattek Jamil Zaki AI4TS 17 57 0 22 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models T. Taniguchi Tomoaki Nakamura Masahiro Suzuki Ryo Kuniyasu Kaede Hayashi Akira Taniguchi Takato Horii Takayuki Nagai BDL DRL 30 48 0 20 Oct 2019
Multimodal representation models for prediction and control from partial information Martina Zambelli Antoine Cully Y. Demiris 24 27 0 09 Oct 2019
Neural Multisensory Scene Inference Jae Hyun Lim Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal Sungjin Ahn 22 10 0 06 Oct 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation R. Dorent Samuel Joutard Marc Modat Sébastien Ourselin Tom Kamiel Magda Vercauteren MedIm 33 118 0 25 Jul 2019
Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning Arun Pandey J. Schreurs Johan A. K. Suykens 50 13 0 19 Jun 2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan Harold Soh Desmond C. Ong AI4TS 25 29 0 30 May 2019
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators D. Jo Byeongju Lee Jongwon Choi Haanju Yoo J. Choi BDL DRL 14 7 0 30 May 2019
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems Ali Malik Mike Wu Vrinda Vasavada Jinpeng Song Madison Coots John C. Mitchell Noah D. Goodman Chris Piech AI4Ed 28 9 0 23 May 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 Apr 2019
Applying Probabilistic Programming to Affective Computing Desmond C. Ong Harold Soh Jamil Zaki Noah D. Goodman 27 20 0 15 Mar 2019
Multi-Source Neural Variational Inference Richard Kurle Stephan Günnemann Patrick van der Smagt BDL SSL DRL 17 25 0 11 Nov 2018
Gaussian Process Prior Variational Autoencoders F. P. Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolò Fusi BDL CML 14 132 0 28 Oct 2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference Mike Wu Milan Mossé Noah D. Goodman Chris Piech AI4Ed UQCV HAI 39 57 0 05 Sep 2018