1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Is the Modality Gap a Bug or a Feature? A Robustness Perspective
Rhea Chowers, Oshri Naparstek, Udi Barzelay +1
Many modern multi-modal models (e.g. CLIP) seek an embedding space in which the two modalities are aligned. Somewhat surprisingly, almost all existing models show a strong modality…
cs.CV2024
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman, Rhea Chowers
We propose a new method for generating realistic datasets with distribution shifts using any decoder-based generative model. Our approach systematically creates datasets with varyi…
cs.CV2022★ 1 cited
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
Rhea Chowers, Yair Weiss
It has previously been reported that the representation that is learned in the first layer of deep Convolutional Neural Networks (CNNs) is highly consistent across initializations…