2 papers
cs.CV2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
Natalie Abreu, Nathan Vaska, Victoria Helus
For the task of image classification, neural networks primarily rely on visual patterns. In robust networks, we would expect for visually similar classes to be represented similarl…
cs.LG2023
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data
Nathan Vaska, Victoria Helus
The impressive advances and applications of large language and joint language-and-visual understanding models has led to an increased need for methods of probing their potential re…