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Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics

18 February 2023
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
    AAML
ArXivPDFHTML

Papers citing "Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics"

11 / 11 papers shown
Title
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Mishal Fatima
Steffen Jung
M. Keuper
40
0
0
06 May 2025
Towards Utilising a Range of Neural Activations for Comprehending
  Representational Associations
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
Laura O'Mahony
Nikola S. Nikolov
David JP O'Sullivan
28
0
0
15 Nov 2024
Impact of Label Noise on Learning Complex Features
Impact of Label Noise on Learning Complex Features
Rahul Vashisht
P. Krishna Kumar
Harsha Vardhan Govind
H. G. Ramaswamy
NoLa
31
0
0
07 Nov 2024
Bias Assessment and Data Drift Detection in Medical Image Analysis: A
  Survey
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Andrea Prenner
Bernhard Kainz
35
0
0
26 Sep 2024
LADDER: Language Driven Slice Discovery and Error Rectification
LADDER: Language Driven Slice Discovery and Error Rectification
Shantanu Ghosh
Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
34
0
0
31 Jul 2024
Dissecting Multimodality in VideoQA Transformer Models by Impairing
  Modality Fusion
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Isha Rawal
Alexander Matyasko
Shantanu Jaiswal
Basura Fernando
Cheston Tan
21
1
0
15 Jun 2023
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
225
201
0
21 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space
  Perspective
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Michael Poli
Sangdoo Yun
OOD
378
49
0
06 Oct 2021
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
208
107
0
26 Aug 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
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
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