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. 1812.10687
  4. Cited By
Robustness to Out-of-Distribution Inputs via Task-Aware Generative
  Uncertainty

Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty

27 December 2018
R. McAllister
G. Kahn
Jeff Clune
Sergey Levine
    UQCV
    OOD
ArXivPDFHTML

Papers citing "Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty"

14 / 14 papers shown
Title
CDSA: Conservative Denoising Score-based Algorithm for Offline
  Reinforcement Learning
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning
Zeyuan Liu
Kai Yang
Xiu Li
OffRL
49
0
0
11 Jun 2024
Semantic Anomaly Detection with Large Language Models
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi
Rohan Sinha
Christopher Agia
Edward Schmerling
I. Nesnas
Marco Pavone
42
65
0
18 May 2023
Out-of-Distribution Detection for Adaptive Computer Vision
Out-of-Distribution Detection for Adaptive Computer Vision
S. Lind
Rudolph Triebel
Luigi Nardi
V. Krüger
OODD
30
2
0
16 May 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory
  Prediction
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
31
26
0
16 Nov 2022
Learning for Robot Decision Making under Distribution Shift: A Survey
Learning for Robot Decision Making under Distribution Shift: A Survey
Abhishek Paudel
OOD
OffRL
46
5
0
14 Mar 2022
Improving Robustness of Deep Neural Networks for Aerial Navigation by
  Incorporating Input Uncertainty
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
24
7
0
26 Oct 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer
Arij Bouazizi
Marco Troina
U. Kressel
Vasileios Belagiannis
46
23
0
15 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video
  Prediction
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Moitreya Chatterjee
Narendra Ahuja
A. Cherian
UQCV
VGen
BDL
47
17
0
06 Oct 2021
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee
Matthew Tan
Yuke Zhu
Jeannette Bohg
49
25
0
01 Dec 2020
Testing for Typicality with Respect to an Ensemble of Learned
  Distributions
Testing for Typicality with Respect to an Ensemble of Learned Distributions
F. Laine
Claire Tomlin
13
0
0
11 Nov 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
60
464
0
18 Jun 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
123
75
0
28 Jan 2020
Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
24
363
0
30 Jan 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
278
5,695
0
05 Dec 2016
1