Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Widrich, Michael"'
Autor:
Adler, Thomas, Brandstetter, Johannes, Widrich, Michael, Mayr, Andreas, Kreil, David, Kopp, Michael, Klambauer, Günter, Hochreiter, Sepp
In order to quickly adapt to new data, few-shot learning aims at learning from few examples, often by using already acquired knowledge. The new data often differs from the previously seen data due to a domain shift, that is, a change of the input-tar
Externí odkaz:
http://arxiv.org/abs/2010.06498
Autor:
Widrich, Michael, Schäfl, Bernhard, Ramsauer, Hubert, Pavlović, Milena, Gruber, Lukas, Holzleitner, Markus, Brandstetter, Johannes, Sandve, Geir Kjetil, Greiff, Victor, Hochreiter, Sepp, Klambauer, Günter
Publikováno v:
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
A central mechanism in machine learning is to identify, store, and recognize patterns. How to learn, access, and retrieve such patterns is crucial in Hopfield networks and the more recent transformer architectures. We show that the attention mechanis
Externí odkaz:
http://arxiv.org/abs/2007.13505
Autor:
Ramsauer, Hubert, Schäfl, Bernhard, Lehner, Johannes, Seidl, Philipp, Widrich, Michael, Adler, Thomas, Gruber, Lukas, Holzleitner, Markus, Pavlović, Milena, Sandve, Geir Kjetil, Greiff, Victor, Kreil, David, Kopp, Michael, Klambauer, Günter, Brandstetter, Johannes, Hochreiter, Sepp
We introduce a modern Hopfield network with continuous states and a corresponding update rule. The new Hopfield network can store exponentially (with the dimension of the associative space) many patterns, retrieves the pattern with one update, and ha
Externí odkaz:
http://arxiv.org/abs/2008.02217
Autor:
Hofmarcher, Markus, Mayr, Andreas, Rumetshofer, Elisabeth, Ruch, Peter, Renz, Philipp, Schimunek, Johannes, Seidl, Philipp, Vall, Andreu, Widrich, Michael, Hochreiter, Sepp, Klambauer, Günter
Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a large-scale virtual screening for small molecules that are potential CoV-2 inhibitors. To
Externí odkaz:
http://arxiv.org/abs/2004.00979
Autor:
Arras, Leila, Arjona-Medina, Jose A., Widrich, Michael, Montavon, Grégoire, Gillhofer, Michael, Müller, Klaus-Robert, Hochreiter, Sepp, Samek, Wojciech
While neural networks have acted as a strong unifying force in the design of modern AI systems, the neural network architectures themselves remain highly heterogeneous due to the variety of tasks to be solved. In this chapter, we explore how to adapt
Externí odkaz:
http://arxiv.org/abs/1909.12114
Autor:
Arjona-Medina, Jose A., Gillhofer, Michael, Widrich, Michael, Unterthiner, Thomas, Brandstetter, Johannes, Hochreiter, Sepp
We propose RUDDER, a novel reinforcement learning approach for delayed rewards in finite Markov decision processes (MDPs). In MDPs the Q-values are equal to the expected immediate reward plus the expected future rewards. The latter are related to bia
Externí odkaz:
http://arxiv.org/abs/1806.07857
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Autor:
Widrich, Michael
The ongoing advances in the field of machine learning (ML) in the past decades continue to have a strong impact on many aspects of our human civilization. This has already lead to the development of technologies that were deemed science fiction not t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3361::dede6d801907855f7b949fb1579464e8
Akademický článek
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