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07/18/2023
Unsupervised Conditional Slot Attention for Object Centric Learning
Extracting object-level representations for downstream reasoning tasks i...
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04/20/2023
A data augmentation perspective on diffusion models and retrieval
Diffusion models excel at generating photorealistic images from text-que...
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10/04/2022
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Aligning the visual and language spaces requires to train deep neural ne...
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09/30/2022
Relative representations enable zero-shot latent space communication
Neural networks embed the geometric structure of a data manifold lying i...
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04/09/2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
We show that deep neural networks that satisfy demographic parity do so ...
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07/01/2021
Generalization and Robustness Implications in Object-Centric Learning
The idea behind object-centric representation learning is that natural s...
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02/22/2021
Towards Causal Representation Learning
The two fields of machine learning and graphical causality arose and dev...
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01/29/2019
Stochastic Conditional Gradient Method for Composite Convex Minimization
In this paper, we propose the first practical algorithm to minimize stoc...
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11/29/2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
In recent years, the interest in unsupervised learning of disentangled r...
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06/06/2018
