Search Results for author: Julien Colin

Found 6 papers, 6 papers with code

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization

1 code implementation11 Jun 2023 Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre

However, its widespread adoption has been limited due to a reliance on tricks to generate interpretable images, and corresponding challenges in scaling it to deeper neural networks.

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

1 code implementation27 Jan 2023 Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre

An important milestone for AI is the development of algorithms that can produce drawings that are indistinguishable from those of humans.

CRAFT: Concept Recursive Activation FacTorization for Explainability

1 code implementation CVPR 2023 Thomas Fel, Agustin Picard, Louis Bethune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

However, recent research has exposed the limited practical value of these methods, attributed in part to their narrow focus on the most prominent regions of an image -- revealing "where" the model looks, but failing to elucidate "what" the model sees in those areas.

A Benchmark for Compositional Visual Reasoning

1 code implementation11 Jun 2022 Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre

Overall, we hope that our challenge will spur interest in the development of neural architectures that can learn to harness compositionality toward more efficient learning.

Visual Reasoning

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods

1 code implementation6 Dec 2021 Julien Colin, Thomas Fel, Remi Cadene, Thomas Serre

A multitude of explainability methods and associated fidelity performance metrics have been proposed to help better understand how modern AI systems make decisions.

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