Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hermann, Karl Moritz"'
Autor:
Mirowski, Piotr, Banki-Horvath, Andras, Anderson, Keith, Teplyashin, Denis, Hermann, Karl Moritz, Malinowski, Mateusz, Grimes, Matthew Koichi, Simonyan, Karen, Kavukcuoglu, Koray, Zisserman, Andrew, Hadsell, Raia
Navigation is a rich and well-grounded problem domain that drives progress in many different areas of research: perception, planning, memory, exploration, and optimisation in particular. Historically these challenges have been separately considered a
Externí odkaz:
http://arxiv.org/abs/1903.01292
Autor:
Hermann, Karl Moritz, Malinowski, Mateusz, Mirowski, Piotr, Banki-Horvath, Andras, Anderson, Keith, Hadsell, Raia
Publikováno v:
AAAI 2020
Navigating and understanding the real world remains a key challenge in machine learning and inspires a great variety of research in areas such as language grounding, planning, navigation and computer vision. We propose an instruction-following task t
Externí odkaz:
http://arxiv.org/abs/1903.00401
Autor:
Ramalho, Tiago, Kočiský, Tomáš, Besse, Frederic, Eslami, S. M. Ali, Melis, Gábor, Viola, Fabio, Blunsom, Phil, Hermann, Karl Moritz
Natural language processing has made significant inroads into learning the semantics of words through distributional approaches, however representations learnt via these methods fail to capture certain kinds of information implicit in the real world.
Externí odkaz:
http://arxiv.org/abs/1807.01670
Autor:
Gulcehre, Caglar, Denil, Misha, Malinowski, Mateusz, Razavi, Ali, Pascanu, Razvan, Hermann, Karl Moritz, Battaglia, Peter, Bapst, Victor, Raposo, David, Santoro, Adam, de Freitas, Nando
We introduce hyperbolic attention networks to endow neural networks with enough capacity to match the complexity of data with hierarchical and power-law structure. A few recent approaches have successfully demonstrated the benefits of imposing hyperb
Externí odkaz:
http://arxiv.org/abs/1805.09786
Autor:
Melis, Gábor, Blundell, Charles, Kočiský, Tomáš, Hermann, Karl Moritz, Dyer, Chris, Blunsom, Phil
We show that dropout training is best understood as performing MAP estimation concurrently for a family of conditional models whose objectives are themselves lower bounded by the original dropout objective. This discovery allows us to pick any model
Externí odkaz:
http://arxiv.org/abs/1805.09208
The ability of algorithms to evolve or learn (compositional) communication protocols has traditionally been studied in the language evolution literature through the use of emergent communication tasks. Here we scale up this research by using contempo
Externí odkaz:
http://arxiv.org/abs/1804.03984
Autor:
Mirowski, Piotr, Grimes, Matthew Koichi, Malinowski, Mateusz, Hermann, Karl Moritz, Anderson, Keith, Teplyashin, Denis, Simonyan, Karen, Kavukcuoglu, Koray, Zisserman, Andrew, Hadsell, Raia
Publikováno v:
Neural Information Processing Systems 2018
Navigating through unstructured environments is a basic capability of intelligent creatures, and thus is of fundamental interest in the study and development of artificial intelligence. Long-range navigation is a complex cognitive task that relies on
Externí odkaz:
http://arxiv.org/abs/1804.00168
Autor:
Kočiský, Tomáš, Schwarz, Jonathan, Blunsom, Phil, Dyer, Chris, Hermann, Karl Moritz, Melis, Gábor, Grefenstette, Edward
Reading comprehension (RC)---in contrast to information retrieval---requires integrating information and reasoning about events, entities, and their relations across a full document. Question answering is conventionally used to assess RC ability, in
Externí odkaz:
http://arxiv.org/abs/1712.07040
Neural network-based systems can now learn to locate the referents of words and phrases in images, answer questions about visual scenes, and execute symbolic instructions as first-person actors in partially-observable worlds. To achieve this so-calle
Externí odkaz:
http://arxiv.org/abs/1710.09867
Autor:
Hermann, Karl Moritz, Hill, Felix, Green, Simon, Wang, Fumin, Faulkner, Ryan, Soyer, Hubert, Szepesvari, David, Czarnecki, Wojciech Marian, Jaderberg, Max, Teplyashin, Denis, Wainwright, Marcus, Apps, Chris, Hassabis, Demis, Blunsom, Phil
We are increasingly surrounded by artificially intelligent technology that takes decisions and executes actions on our behalf. This creates a pressing need for general means to communicate with, instruct and guide artificial agents, with human langua
Externí odkaz:
http://arxiv.org/abs/1706.06551