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Tackling Over-pruning in Variational Autoencoders

Tackling Over-pruning in Variational Autoencoders

9 June 2017
Serena Yeung
A. Kannan
Yann N. Dauphin
Li Fei-Fei
    DRL
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Papers citing "Tackling Over-pruning in Variational Autoencoders"

12 / 12 papers shown
Title
Embodied Active Learning of Generative Sensor-Object Models
Embodied Active Learning of Generative Sensor-Object Models
Allison Pinosky
Todd D. Murphey
LM&Ro
34
1
0
14 Oct 2024
A Study of Representational Properties of Unsupervised Anomaly Detection
  in Brain MRI
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI
Ayantika Das
Arun Palla
Keerthi Ram
M. Sivaprakasam
OOD
21
1
0
28 Nov 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the
  Information Bottleneck
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
Anirban Samaddar
Sandeep Madireddy
Prasanna Balaprakash
Tapabrata Maiti
Gustavo de los Campos
Ian Fischer
24
1
0
04 Mar 2022
Variational Autoencoder with Embedded Student-$t$ Mixture Model for
  Authorship Attribution
Variational Autoencoder with Embedded Student-ttt Mixture Model for Authorship Attribution
Benedikt T. Boenninghoff
Steffen Zeiler
R. M. Nickel
D. Kolossa
BDL
DRL
25
2
0
28 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
38
7
0
12 May 2020
Balancing reconstruction error and Kullback-Leibler divergence in
  Variational Autoencoders
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti
Matteo Trentin
DRL
27
96
0
18 Feb 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai
Ziyu Wang
David Wipf
DRL
24
75
0
23 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
38
179
0
06 Nov 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based
  Planning
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
Rahul Kumar
Aditya Mandalika
Sanjiban Choudhury
S. Srinivasa
8
59
0
22 Jul 2019
Assisted Sound Sample Generation with Musical Conditioning in
  Adversarial Auto-Encoders
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
Adrien Bitton
P. Esling
Antoine Caillon
Martin Fouilleul
36
10
0
12 Apr 2019
A RAD approach to deep mixture models
A RAD approach to deep mixture models
Laurent Dinh
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Razvan Pascanu
19
45
0
18 Mar 2019
Distributionally Adversarial Attack
Distributionally Adversarial Attack
T. Zheng
Changyou Chen
K. Ren
OOD
21
121
0
16 Aug 2018
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