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Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data

Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data

20 May 2020
Alexander Robey
Hamed Hassani
George J. Pappas
    OOD
ArXivPDFHTML

Papers citing "Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data"

15 / 15 papers shown
Title
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution
  Queries
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
Shikhar Jaiswal
Ravishankar Krishnaswamy
Ankit Garg
H. Simhadri
Sheshansh Agrawal
21
23
0
22 Oct 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Johannes Schneider
Giovanni Apruzzese
AAML
24
8
0
18 Mar 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
R. Arghal
E. Lei
Shirin Saeedi Bidokhti
13
19
0
14 Dec 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
39
112
0
27 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
28
0
0
18 Nov 2021
Built-in Elastic Transformations for Improved Robustness
Built-in Elastic Transformations for Improved Robustness
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
AAML
22
1
0
20 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment
  Generation
Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren
Anirudha Majumdar
OOD
96
15
0
13 Jul 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
24
447
0
10 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of
  Invariances in Domain Generalization
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi
Jean-Christophe Gagnon-Audet
Touraj Laleh
Mojtaba Faramarzi
Kartik Ahuja
Irina Rish
30
59
0
04 Jun 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective
  Framework for Domain Adaptation
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
42
49
0
23 Mar 2021
Robust Federated Learning: The Case of Affine Distribution Shifts
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh
Farzan Farnia
Ramtin Pedarsani
Ali Jadbabaie
FedML
OOD
32
162
0
16 Jun 2020
Benchmarking Adversarial Robustness
Benchmarking Adversarial Robustness
Yinpeng Dong
Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
AAML
28
36
0
26 Dec 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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