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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 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"

50 / 59 papers shown
Title
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
171
13
0
28 Jan 2025
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection
  Tasks
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
Neil Band
Tim G. J. Rudner
Qixuan Feng
Angelos Filos
Zachary Nado
Michael W. Dusenberry
Ghassen Jerfel
Dustin Tran
Y. Gal
OOD
UQCV
BDL
31
52
0
23 Nov 2022
Revisiting Deep Learning Models for Tabular Data
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
80
720
0
22 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep
  Learning
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Zachary Nado
Neil Band
Mark Collier
Josip Djolonga
Michael W. Dusenberry
...
D. Sculley
Balaji Lakshminarayanan
Jasper Snoek
Y. Gal
Dustin Tran
UQCV
ELM
48
96
0
07 Jun 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy
  Targets
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Max Ryabinin
A. Malinin
Mark Gales
UQCV
26
18
0
14 May 2021
Multimodal Motion Prediction with Stacked Transformers
Multimodal Motion Prediction with Stacked Transformers
Yicheng Liu
Jinghuai Zhang
Liangji Fang
Qinhong Jiang
Bolei Zhou
40
351
0
22 Mar 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
141
1,406
0
14 Dec 2020
PRANK: motion Prediction based on RANKing
PRANK: motion Prediction based on RANKing
Yuriy Biktairov
Maxim Stebelev
Irina Rudenko
Oleh Shliazhko
Boris Yangel
29
23
0
22 Oct 2020
Training independent subnetworks for robust prediction
Training independent subnetworks for robust prediction
Marton Havasi
Rodolphe Jenatton
Stanislav Fort
Jeremiah Zhe Liu
Jasper Snoek
Balaji Lakshminarayanan
Andrew M. Dai
Dustin Tran
UQCV
OOD
71
210
0
13 Oct 2020
Learning Lane Graph Representations for Motion Forecasting
Learning Lane Graph Representations for Motion Forecasting
Ming Liang
Binh Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
R. Urtasun
54
560
0
27 Jul 2020
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
186
157
0
23 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
252
1,715
0
29 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to
  Distribution Shifts?
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos
P. Tigas
R. McAllister
Nicholas Rhinehart
Sergey Levine
Y. Gal
38
185
0
26 Jun 2020
Regression Prior Networks
Regression Prior Networks
A. Malinin
Sergey Chervontsev
Ivan Provilkov
Mark Gales
BDL
UQCV
37
37
0
20 Jun 2020
Uncertainty in Gradient Boosting via Ensembles
Uncertainty in Gradient Boosting via Ensembles
Aleksei Ustimenko
Liudmila Prokhorenkova
A. Malinin
UQCV
45
95
0
18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
101
443
0
17 Jun 2020
Unsupervised Quality Estimation for Neural Machine Translation
Unsupervised Quality Estimation for Neural Machine Translation
M. Fomicheva
Shuo Sun
Lisa Yankovskaya
Frédéric Blain
Francisco Guzmán
Mark Fishel
Nikolaos Aletras
Vishrav Chaudhary
Lucia Specia
UQLM
60
198
0
21 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
103
802
0
08 May 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
42
564
0
26 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
57
314
0
15 Feb 2020
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic
  Retinopathy Tasks
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
Angelos Filos
Sebastian Farquhar
Aidan Gomez
Tim G. J. Rudner
Zachary Kenton
Lewis Smith
Milad Alizadeh
A. D. Kroon
Y. Gal
BDL
AAML
OOD
UQCV
27
108
0
22 Dec 2019
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OOD
UQCV
65
624
0
05 Dec 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh
E. Grigore
Freddy A. Boulton
Oscar Beijbom
Eric M. Wolff
65
379
0
23 Nov 2019
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
205
210
0
18 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
76
659
0
12 Oct 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation
Improving Back-Translation with Uncertainty-based Confidence Estimation
Shuo Wang
Yang Liu
Chao Wang
Huanbo Luan
Maosong Sun
UQLM
57
82
0
31 Aug 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
164
1,454
0
16 Jul 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
146
2,190
0
05 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
49
620
0
19 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
135
1,677
0
06 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty
  and Adversarial Robustness
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
A. Malinin
Mark Gales
UQCV
AAML
38
174
0
31 May 2019
Ensemble Distribution Distillation
Ensemble Distribution Distillation
A. Malinin
Bruno Mlodozeniec
Mark Gales
UQCV
54
232
0
30 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
76
3,141
0
01 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
103
3,399
0
28 Mar 2019
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving
  Control
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Marta Kwiatkowska
Y. Gal
UQCV
30
101
0
16 Nov 2018
Deep Imitative Models for Flexible Inference, Planning, and Control
Deep Imitative Models for Flexible Inference, Planning, and Control
Nicholas Rhinehart
R. McAllister
Sergey Levine
58
148
0
15 Oct 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep
  Convolutional Networks
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui
Vladan Radosavljevic
Fang-Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
J. Schneider
Nemanja Djuric
42
607
0
18 Sep 2018
MTNT: A Testbed for Machine Translation of Noisy Text
MTNT: A Testbed for Machine Translation of Noisy Text
Paul Michel
Graham Neubig
36
146
0
02 Sep 2018
A Call for Clarity in Reporting BLEU Scores
A Call for Clarity in Reporting BLEU Scores
Matt Post
81
2,941
0
23 Apr 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
146
1,895
0
29 Mar 2018
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
211
2,158
0
23 Mar 2018
Understanding Measures of Uncertainty for Adversarial Example Detection
Understanding Measures of Uncertainty for Adversarial Example Detection
Lewis Smith
Y. Gal
UQCV
78
361
0
22 Mar 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UD
BDL
EDL
UQCV
PER
162
907
0
28 Feb 2018
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
102
1,062
0
06 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
427
129,831
0
12 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
93
2,046
0
08 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
101
1,851
0
20 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting
  Agents
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Namhoon Lee
Wongun Choi
Paul Vernaza
Chris Choy
Philip Torr
Manmohan Chandraker
AI4TS
77
987
0
14 Apr 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
468
5,748
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
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
808
6,768
0
26 Sep 2016
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