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Burn After Reading: Online Adaptation for Cross-domain Streaming Data

Burn After Reading: Online Adaptation for Cross-domain Streaming Data

Luyu Yang
M. Gao
Zeyuan Chen
Ran Xu
Abhinav Shrivastava
Chetan Ramaiah
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Papers citing "Burn After Reading: Online Adaptation for Cross-domain Streaming Data"

6 / 6 papers shown
Title
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Anh-Dzung Doan
Bach Long Nguyen
Terry Lim
M. Jayawardhana
Surabhi Gupta
Christophe Guettier
Ian Reid
Markus Wagner
Tat-Jun Chin
TTA
29
0
0
08 Jul 2024
MODL: Multilearner Online Deep Learning
MODL: Multilearner Online Deep Learning
Antonios Valkanas
Boris N. Oreshkin
Mark J. Coates
36
1
0
28 May 2024
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
35
203
0
27 Mar 2023
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
213
246
0
20 Apr 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
100
124
0
16 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015