ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.11750
  4. Cited By
Improving Variational Autoencoder based Out-of-Distribution Detection
  for Embedded Real-time Applications
v1v2 (latest)

Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications

25 July 2021
Yeli Feng
Daniel Jun Xian Ng
Arvind Easwaran
    OODD
ArXiv (abs)PDFHTML

Papers citing "Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications"

24 / 24 papers shown
Title
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving
  Objects
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
Suihanjin Yu
Youming Zhang
Chen Wang
Xiao Bai
Liang Zhang
Edwin R. Hancock
30
3
0
19 Nov 2020
Out-of-Distribution Detection for Automotive Perception
Out-of-Distribution Detection for Automotive Perception
Julia Nitsch
Masha Itkina
Ransalu Senanayake
Juan I. Nieto
M. Schmidt
Roland Siegwart
Mykel J. Kochenderfer
Cesar Cadena
UQCV
74
64
0
03 Nov 2020
Robust Reinforcement Learning-based Autonomous Driving Agent for
  Simulation and Real World
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
P. Almási
Róbert Moni
Bálint Gyires-Tóth
28
32
0
23 Sep 2020
Variational auto-encoders with Student's t-prior
Variational auto-encoders with Student's t-prior
N. Abiri
Mattias Ohlsson
DRL
42
13
0
06 Apr 2020
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space
  of $β$-VAE
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of βββ-VAE
V. Sundar
Shreyas Ramakrishna
Zahra Rahiminasab
Arvind Easwaran
Abhishek Dubey
OODDDRL
38
20
0
10 Mar 2020
Real-time Out-of-distribution Detection in Learning-Enabled
  Cyber-Physical Systems
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
Feiyang Cai
X. Koutsoukos
OODD
179
75
0
28 Jan 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution
  Detection
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
Erik A. Daxberger
José Miguel Hernández-Lobato
UQCV
80
63
0
11 Dec 2019
Input complexity and out-of-distribution detection with likelihood-based
  generative models
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
157
277
0
25 Sep 2019
Temporal Coherence for Active Learning in Videos
Temporal Coherence for Active Learning in Videos
Javad Zolfaghari Bengar
Abel Gonzalez-Garcia
Gabriel Villalonga
Bogdan Raducanu
H. H. Aghdam
M. Mozerov
Antonio M. López
Joost van de Weijer
60
46
0
30 Aug 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
212
728
0
07 Jun 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
301
5,786
0
26 Mar 2019
Dirichlet Variational Autoencoder for Text Modeling
Dirichlet Variational Autoencoder for Text Modeling
Yijun Xiao
Tiancheng Zhao
William Yang Wang
BDLDRL
62
21
0
31 Oct 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
87
759
0
22 Oct 2018
Generative Adversarial Active Learning for Unsupervised Outlier
  Detection
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu
Zhe Li
Chong Zhou
Yuanchun Jiang
Jianshan Sun
Ming Wang
Xiangnan He
58
301
0
28 Sep 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate
  Time Series
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li
Dacheng Chen
Jonathan Goh
See-kiong Ng
AI4TS
69
297
0
13 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
197
2,063
0
10 Jul 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient
  Information
Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek
Matthias Rottmann
Hanno Gottschalk
UQCV
64
64
0
22 May 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
167
3,143
0
15 Dec 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
135
1,057
0
05 Nov 2017
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry
  Estimation
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation
G. Costante
Thomas Alessandro Ciarfuglia
72
71
0
18 Sep 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
70
635
0
19 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
847
5,847
0
05 Dec 2016
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
1