Multiset-equivariant set prediction with approximate implicit differentiation

A better permutation-equivariance property for set prediction.

[arxiv] [code] [video] [summary] [poster]

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Better set representations for relational reasoning

Set-structured latent spaces improve generalisation and robustness.

[arxiv] [code] [video]

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Deep set prediction networks

To predict a set from a vector, use gradient descent to find a set the encodes to that vector.

[arxiv] [code] [poster 1] [poster 2]

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FSPool: Learning set representations with featurewise sort pooling

Sort in encoder and undo sorting in decoder to avoid responsibility problem in set auto-encoders.

[arxiv] [code] [video] [poster]

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Learning representations of sets through optimized permutations

Learn how to permute a set, then encode permuted set with RNN to obtain a set representation.

[arxiv] [code] [poster]

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Learning to count objects in natural images for visual question answering

Enabling visual question answering models to count by handling overlapping object proposals.

[arxiv] [code] [poster]

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