Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Zsolt Kira"'
Autor:
Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero-Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava Siegelmann
Publikováno v:
Nature Machine Intelligence. 4:196-210
ispartof: NATURE MACHINE INTELLIGENCE vol:4 issue:3 pages:196-210 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a55395bd1b994789c5a9fc0daeeaebb
https://doi.org/10.1038/s42256-022-00452-0
https://doi.org/10.1038/s42256-022-00452-0
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04e2839af21d08d0e69c5969321dbf9d
https://doi.org/10.1007/978-3-031-20056-4_9
https://doi.org/10.1007/978-3-031-20056-4_9
Autor:
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco Gallardo, Tyler Hayes, Cameron Taylor, Mustafa Burak Gurbuz, James Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan
As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adapt in dynamically-changing environments, becoming Lifelong Learning Mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::416566d689b9309835376f02f4c78719
Autor:
Chia-Wen Kuo, Zsolt Kira
Significant progress has been made on visual captioning, largely relying on pre-trained features and later fixed object detectors that serve as rich inputs to auto-regressive models. A key limitation of such methods, however, is that the output of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6655f462fc7aa2cc2117d790448f4e37
Autor:
Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bde8953d2791c02c58a4e1bbc8d35283
https://doi.org/10.1007/978-3-031-20086-1_16
https://doi.org/10.1007/978-3-031-20086-1_16
In this paper, we address bandwidth-limited and obstruction-prone collaborative perception, specifically in the context of multi-agent semantic segmentation. This setting presents several key challenges, including processing and exchanging unregister
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a91b5d1e9692567825b61acf04fad45
http://arxiv.org/abs/2107.00771
http://arxiv.org/abs/2107.00771
Publikováno v:
ICRA
Deep Learning has revolutionized our ability to solve complex problems such as Vision-and-Language Navigation (VLN). This task requires the agent to navigate to a goal purely based on visual sensory inputs given natural language instructions. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::944e52c22b9fa1509363d6a6f2e1fe30
http://arxiv.org/abs/2104.10674
http://arxiv.org/abs/2104.10674
Autor:
Gabriella Gálffy, Géza Tamás Szabó, Lilla Tamási, Veronika Müller, Judit Moldvay, Veronika Sárosi, Anna Kerpel-Fronius, Tamás Kardos, Edit Csada, Zsolt Pápai-Székely, Zoltán Szász, Zsolt Király, Gábor Hódi, Zsuzsanna Kovács, Éva Balogh, Krisztina Andrea Kovács, Miklós Darida, Viktória Buga, György Rokszin, Zsolt Abonyi-Tóth, Zoltán Kiss, Zoltán Vokó, Krisztina Bogos
Publikováno v:
Pathology and Oncology Research, Vol 30 (2024)
ObjectiveHungary has repeatedly been shown to have the highest cancer-related mortality and incidence in Europe. Despite lung cancer being the most abundant malignant diagnosis in Hungary, numerous concerns have been raised recently regarding the bia
Externí odkaz:
https://doaj.org/article/9bde8f083408482c872f58d4f50c4120
Publikováno v:
IJCNN
Rehearsal is a critical component for class-incremental continual learning, yet it requires a substantial memory budget. Our work investigates whether we can significantly reduce this memory budget by leveraging unlabeled data from an agent's environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6944facddf66cd345a2afd4450d1a594
http://arxiv.org/abs/2101.09536
http://arxiv.org/abs/2101.09536
Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, some of which may be unsafe. Consequently, its application to safety-cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5b4395e0b658c2b4768ca02000bf1d7