Teresa Yeo
7 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Pioneer
Conferences
ICCV (2)
NIPS (2)
AAAI (1)
CVPR (1)
ECCV (1)
Top co-authors
Research topics
Keywords
domain generalization
(2)
distribution shift
(2)
adversarial robustness
(1)
model robustness
(1)
data augmentation
(1)
multimodal learning
(1)
sample complexity
(1)
test-time adaptation
(1)
neural network optimization
(1)
algorithm design
(1)
concept learning
(1)
collaborative learning
(1)
machine teaching
(1)
inductive bia
(1)
image corruption
(1)
uncertainty estimation
(1)
vision foundation model
(1)
masked autoencoder
(1)
deep ensemble
(1)
neural network generalization
(1)
Papers
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
ECCV 2024
4M: Massively Multimodal Masked Modeling
NIPS 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
ICCV 2023
3D Common Corruptions and Data Augmentation
CVPR 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
NIPS 2022
Robustness via Cross-Domain Ensembles
ICCV 2021
Iterative Classroom Teaching
AAAI 2019