Search Results for author: Maarten Stol

Found 5 papers, 3 papers with code

Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting

1 code implementation18 Jun 2021 Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu

Instance-level contrastive learning techniques, which rely on data augmentation and a contrastive loss function, have found great success in the domain of visual representation learning.

Action Recognition In Videos Contrastive Learning +10

Mixing Consistent Deep Clustering

no code implementations3 Nov 2020 Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn

Finding well-defined clusters in data represents a fundamental challenge for many data-driven applications, and largely depends on good data representation.

Clustering Deep Clustering +1

FlipOut: Uncovering Redundant Weights via Sign Flipping

no code implementations5 Sep 2020 Andrei Apostol, Maarten Stol, Patrick Forré

Modern neural networks, although achieving state-of-the-art results on many tasks, tend to have a large number of parameters, which increases training time and resource usage.

Super-resolution Variational Auto-Encoders

1 code implementation9 Jun 2020 Ioannis Gatopoulos, Maarten Stol, Jakub M. Tomczak

The framework of variational autoencoders (VAEs) provides a principled method for jointly learning latent-variable models and corresponding inference models.

Ranked #62 on Image Generation on CIFAR-10 (bits/dimension metric)

Image Generation Super-Resolution

Pruning via Iterative Ranking of Sensitivity Statistics

1 code implementation1 Jun 2020 Stijn Verdenius, Maarten Stol, Patrick Forré

With the introduction of SNIP [arXiv:1810. 02340v2], it has been demonstrated that modern neural networks can effectively be pruned before training.

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