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06/11/2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Feature visualization has gained substantial popularity, particularly af...
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06/11/2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
In recent years, concept-based approaches have emerged as some of the mo...
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01/27/2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
An important milestone for AI is the development of algorithms that can ...
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05/20/2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models
Robust generalization to new concepts has long remained a distinctive fe...
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12/01/2020
Iterative VAE as a predictive brain model for out-of-distribution generalization
Our ability to generalize beyond training data to novel, out-of-distribu...
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02/03/2020
Effect of top-down connections in Hierarchical Sparse Coding
Hierarchical Sparse Coding (HSC) is a powerful model to efficiently repr...
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02/20/2019
Meaningful representations emerge from Sparse Deep Predictive Coding
Convolutional Neural Networks (CNNs) are the state-of-the-art algorithms...
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12/04/2018
