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Shifts: A Dataset of Real Distributional Shift Across Multiple
  Large-Scale Tasks

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

15 July 2021
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
Y. Gal
Mark J. F. Gales
A. Noskov
Andrey Ploskonosov
Liudmila Prokhorenkova
Ivan Provilkov
Vatsal Raina
Vyas Raina
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
    UQCV
    OOD
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Papers citing "Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks"

25 / 25 papers shown
Title
Model uncertainty quantification using feature confidence sets for outcome excursions
Model uncertainty quantification using feature confidence sets for outcome excursions
Junting Ren
Armin Schwartzman
51
0
0
28 Apr 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
90
12
0
28 Jan 2025
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
69
0
0
21 Sep 2024
Transfer Learning Study of Motion Transformer-based Trajectory
  Predictions
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Lars Ullrich
Alex McMaster
Knut Graichen
38
3
0
12 Apr 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
27
31
0
07 Mar 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
33
117
0
16 Oct 2023
On Evaluation of Document Classification using RVL-CDIP
On Evaluation of Document Classification using RVL-CDIP
Stefan Larson
Gordon Lim
Kevin Leach
26
3
0
21 Jun 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD
  Detection, Calibration, and Accuracy
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka
I. Karpukhin
Maksim Zhdanov
Sergey Kolesnikov
30
0
0
19 May 2023
Learning to Generalize for Cross-domain QA
Learning to Generalize for Cross-domain QA
Yingjie Niu
Linyi Yang
Ruihai Dong
Yue Zhang
11
6
0
14 May 2023
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
K. Chen
Runzhou Ge
Hang Qiu
Rami Ai-Rfou
C. Qi
...
Mustafa A. Mustafa
Ivan Bogun
Weiyue Wang
Mingxing Tan
Drago Anguelov
27
20
0
07 Apr 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
35
32
0
24 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
33
79
0
15 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan Ö. Arik
Rose Yu
AI4TS
31
22
0
07 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
108
93
0
06 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
67
94
0
30 Sep 2022
Revisiting Pretraining Objectives for Tabular Deep Learning
Revisiting Pretraining Objectives for Tabular Deep Learning
Ivan Rubachev
Artem Alekberov
Yu. V. Gorishniy
Artem Babenko
LMTD
21
41
0
07 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark J. F. Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
22
28
0
30 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
F. I. F. Richard Yu
TTA
36
149
0
16 Jun 2022
Transformer based trajectory prediction
Transformer based trajectory prediction
A. Postnikov
A. Gamayunov
Gonzalo Ferrer
17
9
0
08 Dec 2021
More layers! End-to-end regression and uncertainty on tabular data with
  deep learning
More layers! End-to-end regression and uncertainty on tabular data with deep learning
Ivan Bondarenko
OOD
LMTD
UQCV
15
4
0
07 Dec 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
149
155
0
23 Jul 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 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
270
5,660
0
05 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 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
279
9,136
0
06 Jun 2015
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