Sketching Curvature for Efficient Out-of-Distribution Detection for Deep
Neural Networks

Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks

24 February 2021

Papers citing "Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks"

16 / 16 papers shown

Title
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 49 7 0 06 Oct 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
SketchOGD: Memory-Efficient Continual Learning Benjamin Wright Youngjae Min Jeremy Bernstein Navid Azizan CLL 28 0 0 25 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 37 65 0 18 May 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles Pasquale Antonante Sushant Veer Zheng Li Xinshuo Weng Luca Carlone Marco Pavone 59 9 0 03 May 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 47 23 0 28 Dec 2022
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija Apoorva Sharma Navid Azizan OOD UQCV 26 3 0 04 Oct 2022
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications Somrita Banerjee Apoorva Sharma Edward Schmerling M. Spolaor Michael Nemerouf Marco Pavone 23 2 0 14 Sep 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles Alec Farid Sushant Veer Boris Ivanovic Karen Leung Marco Pavone 43 24 0 25 Jul 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 50 24 0 22 May 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep Chinchali AAML 40 4 0 13 Apr 2022
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 48 21 0 20 Sep 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 25 59 0 01 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 58 289 0 28 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015