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07/11/2023
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
In light of the recent widespread adoption of AI systems, understanding ...
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06/07/2023
Don't trust your eyes: on the (un)reliability of feature visualizations
How do neural networks extract patterns from pixels? Feature visualizati...
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05/23/2023
Provably Learning Object-Centric Representations
Learning structured representations of the visual world in terms of obje...
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06/28/2022
Increasing Confidence in Adversarial Robustness Evaluations
Hundreds of defenses have been proposed to make deep neural networks rob...
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06/23/2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
One widely used approach towards understanding the inner workings of dee...
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02/17/2021
Contrastive Learning Inverts the Data Generating Process
Contrastive learning has recently seen tremendous success in self-superv...
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10/23/2020
Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations
Feature visualizations such as synthetic maximally activating images are...
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07/01/2019
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"
A recent paper by Liu et al. combines the topics of adversarial training...
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04/16/2019
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks
We present Simion Zoo, a Reinforcement Learning (RL) workbench that prov...
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09/19/2018
