3 papers
cs.CV2024
Sample- and Parameter-Efficient Auto-Regressive Image Models
Elad Amrani, Leonid Karlinsky, Alex Bronstein
We introduce XTRA, a vision model pre-trained with a novel auto-regressive objective that significantly enhances both sample and parameter efficiency compared to previous auto-regr…
cs.LG2023
GeRA: Label-Efficient Geometrically Regularized Alignment
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin +2
Pretrained unimodal encoders incorporate rich semantic information into embedding space structures. To be similarly informative, multi-modal encoders typically require massive amou…
cs.CV2021
Self-Supervised Classification Network
Elad Amrani, Leonid Karlinsky, Alex Bronstein
We present Self-Classifier -- a novel self-supervised end-to-end classification learning approach. Self-Classifier learns labels and representations simultaneously in a single-stag…