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2210.01360
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Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
4 October 2022
Sravanti Addepalli
Anshul Nasery
R. Venkatesh Babu
Praneeth Netrapalli
Prateek Jain
AAML
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Papers citing
"Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks"
6 / 6 papers shown
Title
Responsible AI (RAI) Games and Ensembles
Yash Gupta
Runtian Zhai
A. Suggala
Pradeep Ravikumar
10
0
0
28 Oct 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
19
6
0
15 Jun 2023
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis
M. Mehmanchi
Mahbod Nouri
Mohammad Sabokrou
AAML
24
1
0
10 Jun 2023
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
61
19
0
27 Jan 2022
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
205
246
0
20 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
422
0
17 Feb 2021
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