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A System-Level View on Out-of-Distribution Data in Robotics

A System-Level View on Out-of-Distribution Data in Robotics

28 December 2022
Rohan Sinha
Apoorva Sharma
Somrita Banerjee
T. Lew
Rachel Luo
Spencer M. Richards
Yixiao Sun
Edward Schmerling
Marco Pavone
    UQCV
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Papers citing "A System-Level View on Out-of-Distribution Data in Robotics"

11 / 11 papers shown
Title
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
M. Ronecker
Matthew Foutter
Amine Elhafsi
Daniele Gammelli
Ihor Barakaiev
Marco Pavone
Daniel Watzenig
19
0
0
12 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo
Kensuke Nakamura
Andrea V. Bajcsy
54
0
0
01 May 2025
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of
  Consistency and Progress
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia
Rohan Sinha
Jingyun Yang
Zi-ang Cao
Rika Antonova
Marco Pavone
Jeannette Bohg
26
6
0
06 Oct 2024
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OOD
AAML
49
7
0
28 Aug 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction
Sample-Efficient Safety Assurances using Conformal Prediction
Rachel Luo
Shengjia Zhao
Jonathan Kuck
B. Ivanovic
Silvio Savarese
Edward Schmerling
Marco Pavone
48
56
0
28 Sep 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
27
51
0
05 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 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
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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