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Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications

14 September 2022
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
ArXivPDFHTML

Papers citing "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications"

13 / 13 papers shown
Title
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
182
92
0
17 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
280
916
0
21 Oct 2021
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep
  Neural Networks
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
Apoorva Sharma
Navid Azizan
Marco Pavone
UQCV
69
45
0
24 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
170
1,428
0
14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
269
1,911
0
12 Nov 2020
Safe Robot Navigation via Multi-Modal Anomaly Detection
Safe Robot Navigation via Multi-Modal Anomaly Detection
Lorenz Wellhausen
René Ranftl
Marco Hutter
59
77
0
22 Jan 2020
Satellite Pose Estimation Challenge: Dataset, Competition Design and
  Results
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Mate Kisantal
Sumant Sharma
T. Park
Dario Izzo
Marcus Märtens
Simone DÁmico
SSL
110
175
0
05 Nov 2019
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear
  Pose Refinement
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
Bo Chen
Jiewei Cao
Álvaro Parra
Tat-Jun Chin
53
127
0
30 Aug 2019
Bayesian Batch Active Learning as Sparse Subset Approximation
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler
Jonathan Gordon
Eric T. Nalisnick
José Miguel Hernández-Lobato
UQCV
47
132
0
06 Aug 2019
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
77
356
0
30 Oct 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
165
2,879
0
21 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
256
8,856
0
25 Aug 2017
Active Learning Using Uncertainty Information
Active Learning Using Uncertainty Information
Yazhou Yang
Marco Loog
32
73
0
27 Feb 2017
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