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Understanding the Limits of Unsupervised Domain Adaptation via Data
  Poisoning

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

8 July 2021
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
    AAML
ArXivPDFHTML

Papers citing "Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning"

11 / 11 papers shown
Title
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
21
7
0
29 May 2024
Test-time Assessment of a Model's Performance on Unseen Domains via
  Optimal Transport
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
Akshay Mehra
Yunbei Zhang
Jihun Hamm
OOD
24
1
0
02 May 2024
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation
  Annotation for Aerial Field Robots
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots
Connor T. Lee
Saraswati Soedarmadji
Matthew O. Anderson
Anthony J. Clark
Soon-Jo Chung
41
5
0
21 Mar 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
25
2
0
17 Jul 2023
Uncovering Adversarial Risks of Test-Time Adaptation
Uncovering Adversarial Risks of Test-Time Adaptation
Tong Wu
Feiran Jia
Xiangyu Qi
Jiachen T. Wang
Vikash Sehwag
Saeed Mahloujifar
Prateek Mittal
AAML
TTA
29
9
0
29 Jan 2023
Understanding the Robustness of Multi-Exit Models under Common
  Corruptions
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
16
3
0
03 Dec 2022
On Certifying and Improving Generalization to Unseen Domains
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
21
4
0
24 Jun 2022
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
28
2
0
09 Mar 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
S. Feizi
OOD
19
7
0
28 Jan 2022
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial
  Training
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao
Lei Feng
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
26
71
0
09 Feb 2021
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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