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Relating by Contrasting: A Data-efficient Framework for Multimodal
  Generative Models

Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models

2 July 2020
Yuge Shi
Brooks Paige
Philip Torr
N. Siddharth
    VLM
ArXivPDFHTML

Papers citing "Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models"

13 / 13 papers shown
Title
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
29
1
0
18 Dec 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
28
10
0
15 Dec 2022
Generalized Product-of-Experts for Learning Multimodal Representations
  in Noisy Environments
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
Abhinav Joshi
Naman K. Gupta
Jinang Shah
Binod Bhattarai
Ashutosh Modi
Danail Stoyanov
OffRL
33
2
0
07 Nov 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial
  Optimization
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Adrián Javaloy
Maryam Meghdadi
Isabel Valera
24
26
0
09 Jun 2022
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
51
3
0
20 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for
  Multi-Label Classification
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai
Shufeng Kong
Carla P. Gomes
SSL
DRL
30
36
0
02 Dec 2021
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Daniel Kramer
P. Bommer
Carlo Tombolini
G. Koppe
Daniel Durstewitz
BDL
AI4TS
AI4CE
25
18
0
04 Nov 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
28
9
0
28 Jun 2021
Learning Multimodal VAEs through Mutual Supervision
Learning Multimodal VAEs through Mutual Supervision
Thomas Joy
Yuge Shi
Philip Torr
Tom Rainforth
Sebastian M. Schmon
N. Siddharth
SSL
32
20
0
23 Jun 2021
Generalized Multimodal ELBO
Generalized Multimodal ELBO
Thomas M. Sutter
Imant Daunhawer
Julia E. Vogt
19
89
0
06 May 2021
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
49
239
0
09 Mar 2021
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OOD
CML
BDL
DRL
28
165
0
06 Apr 2018
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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