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Poster
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Tue 1:45
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Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Sheng Li · Chao Wu · Ao Li · Yanzhi Wang · Xulong Tang · Geng Yuan
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Workshop
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Inter-animal transforms as a guide to model-brain comparison
Imran Thobani · Javier Sagastuy-Brena · Aran Nayebi · Rosa Cao · Daniel L Yamins
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Workshop
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Explaining Human Comparisons using Alignment-Importance Heatmaps
Nhut Truong · Dario Pesenti · Uri Hasson
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Workshop
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Koopman Operator Based Dynamical Similarity Analysis for Data-driven Quantification of Distance between Dynamics
Shunsuke Kamiya · Jun Kitazono · Masafumi Oizumi
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Workshop
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Wild Comparisons: A Study of how Representation Similarity Changes when Input Data is Drawn from a Shifted Distribution
Davis Brown · Madelyn Shapiro · Alyson Bittner · Jackson Warley · Henry Kvinge
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Workshop
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Less is More: Discovering Concise Network Explanations
Neehar Kondapaneni · Markus Marks · Oisin Mac Aodha · Pietro Perona
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Workshop
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Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon · Kyungwoo Song · C. Lee
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Workshop
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Differentiable Optimization of Similarity Scores Between Models and Brains
Nathan Cloos · Markus Siegel · Scott Brincat · Earl Miller · Christopher Cueva
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Workshop
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Self-supervised learning facilitates neural representation structures that can be unsupervisedly aligned to human behaviors
Soh Takahashi · Masaru Sasaki · Ken Takeda · Masafumi Oizumi
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Workshop
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Can Foundation Models Smell Like Humans?
Farzaneh Taleb · Miguel Vasco · Nona Rajabi · Mårten Björkman · Danica Kragic
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Workshop
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Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas
Ken Takeda · Kota Abe · Jun Kitazono · Masafumi Oizumi
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Workshop
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Unveiling the Dynamics of Transfer Learning Representations
Thomas Goerttler · Klaus Obermayer
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