Navid Kardan
5 papers · 2022–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
self-supervised learning
(2)
curriculum learning
(1)
gradient estimation
(1)
adversarial attack
(1)
out-of-distribution detection
(1)
cross-domain few-shot learning
(1)
masked autoencoder
(1)
student model
(1)
model extraction
(1)
generator network
(1)
video action recognition
(1)
data-free model stealing
(1)
joint conditional distribution
(1)
adversarial robustness
(1)
sample-to-sample relation
(1)
Papers
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
ICCV 2023
Dual Student Networks for Data-Free Model Stealing
ICLR 2023
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
ECCV 2022
Self-Joint Supervised Learning
ICLR 2022
Towards Realistic Semi-Supervised Learning
ECCV 2022