1 code implementation • 11 Nov 2023 • Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych
Here, to aid understanding of memes, we release a knowledge base of memes and information found on www. knowyourmeme. com, which we call the Know Your Meme Knowledge Base (KYMKB), composed of more than 54, 000 images.
no code implementations • 19 Sep 2023 • Peter Ebert Christensen, Srishti Yadav, Serge Belongie
Unsupported and unfalsifiable claims we encounter in our daily lives can influence our view of the world.
no code implementations • 17 Nov 2022 • Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim
We demonstrate that APT is capable of a wide range of class-preserving semantic image manipulations that fool a variety of pretrained classifiers.
1 code implementation • 19 Aug 2022 • Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge Belongie
In this work, we aim to distill such posts into a small set of narratives that capture the essential claims related to a given topic.
no code implementations • 6 Jun 2022 • Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge Belongie
To this end, we propose a volumetric framework for (i) disentangling or separating, the volumetric representation of a given foreground object from the background, and (ii) semantically manipulating the foreground object, as well as the background.
1 code implementation • NeurIPS 2020 • Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song
The use of deep learning techniques has achieved significant progress for program synthesis from input-output examples.
1 code implementation • 26 Nov 2019 • Jeppe Johan Waarkjær Olsen, Peter Ebert Christensen, Martin Hangaard Hansen, Alexander Rosenberg Johansen
to fitting the QM9 dataset, which conforms to the octet rule, and to fitting the ZINC dataset, which contains hypervalent molecules and ions requiring the model to learn a more complex structure rule.