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Workshop

Mechanistic Interpretability for Vision

Tamar Rott Shaham ⋅ Yossi Gandelsman ⋅ Joanna Materzynska ⋅ Rohit Gandikota ⋅ Amil Dravid ⋅ Ashkan Khakzar ⋅ Eli Shechtman ⋅ Philip H.S. Torr

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Abstract

Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)

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Schedule

Timezone: America/Los_Angeles

Disentangling Polysemantic Channels in Convolutional Neural Networks

Robin Hesse ⋅ Jonas Fischer ⋅ Simone Schaub-Meyer ⋅ Stefan Roth

Naturally Computed Scale Invariance in the Residual Stream of ResNet18

André Longon

Decoding Vision Transformers: the Diffusion Steering Lens

Ryota Takatsuki ⋅ Sonia Joseph ⋅ Ippei Fujisawa ⋅ Ryota Kanai

Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization

Matthew Shinkle ⋅ Mark Lescroart

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders

Matthew L. Olson ⋅ Musashi Hinck ⋅ Neale Ratzlaff ⋅ Changbai Li ⋅ Phillip Howard ⋅ Vasudev Lal ⋅ Shao-Yen Tseng

Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging

Amar Kumar ⋅ Anita Kriz ⋅ Barak Pertzov ⋅ Tal Arbel

Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation

Zahra TehraniNasab ⋅ Amar Kumar ⋅ Tal Arbel

Investigating Mechanisms for In-Context Vision Language Binding

Darshana Saravanan ⋅ Makarand Tapaswi ⋅ Vineet Gandhi

Uncovering Branch-specialization in InceptionV1 using k sparse autoencoders

Matthew Bozoukov Matthew Bozoukov

Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM’s Representation Learning

Ashim Dahal ⋅ Saydul Murad Murad ⋅ Nick Rahimi

Wavelet-Based Mechanistic Interpretability of Vision Transformers via Frequency-Aware Ablations

Sophia Abraham ⋅ Jonathan Hauenstein ⋅ Walter Scheirer