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. 2010.03759
  4. Cited By
Energy-based Out-of-distribution Detection

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
    OODD
ArXivPDFHTML

Papers citing "Energy-based Out-of-distribution Detection"

14 / 814 papers shown
Title
Deep Deterministic Uncertainty: A Simple Baseline
Deep Deterministic Uncertainty: A Simple Baseline
Jishnu Mukhoti
Andreas Kirsch
Joost R. van Amersfoort
Philip Torr
Y. Gal
UD
UQCV
PER
BDL
29
145
0
23 Feb 2021
Unsupervised Energy-based Out-of-distribution Detection using
  Stiefel-Restricted Kernel Machine
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
F. Tonin
Arun Pandey
Panagiotis Patrinos
Johan A. K. Suykens
OODD
67
14
0
16 Feb 2021
Model Rectification via Unknown Unknowns Extraction from Deployment
  Samples
Model Rectification via Unknown Unknowns Extraction from Deployment Samples
B. Abrahao
Z. Wang
Haider Ahmed
Yuchen Zhu
24
0
0
08 Feb 2021
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution
  Detection
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection
Deepak Ravikumar
Sangamesh Kodge
Isha Garg
Kaushik Roy
OODD
21
4
0
15 Dec 2020
Perfect density models cannot guarantee anomaly detection
Perfect density models cannot guarantee anomaly detection
Charline Le Lan
Laurent Dinh
35
49
0
07 Dec 2020
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLM
OffRL
33
9
0
25 Nov 2020
Dependency-based Anomaly Detection: a General Framework and
  Comprehensive Evaluation
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation
Sha Lu
Lin Liu
Kui Yu
T. Le
Jixue Liu
Jiuyong Li
11
0
0
13 Nov 2020
Variational (Gradient) Estimate of the Score Function in Energy-based
  Latent Variable Models
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao
Kun Xu
Chongxuan Li
Lanqing Hong
Jun Zhu
Bo Zhang
DiffM
22
8
0
16 Oct 2020
Hybrid Discriminative-Generative Training via Contrastive Learning
Hybrid Discriminative-Generative Training via Contrastive Learning
Hao Liu
Pieter Abbeel
SSL
23
40
0
17 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Jiefeng Chen
Yixuan Li
Xi Wu
Yingyu Liang
S. Jha
OODD
21
135
0
26 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown
  Examples
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
12
22
0
07 Jun 2020
Robust Out-of-distribution Detection for Neural Networks
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen
Yixuan Li
Xi Wu
Yingyu Liang
S. Jha
OODD
161
84
0
21 Mar 2020
Entropic Out-of-Distribution Detection
Entropic Out-of-Distribution Detection
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
UQCV
25
31
0
15 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Previous
123...151617