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1 . Report
A Deep Learning Approach for Characterizing Major Galaxy Mergers
저자
by
Koppula, Skanda
;
Bapst, Victor
;
Huertas-Company, Marc
;
Blackwell, Sam
;
Grabska-Barwinska, Agnieszka
, et al.
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7 . Report
Measuring and improving the quality of visual explanations
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by
Grabska-Barwińska, Agnieszka
.
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3 . Report
Gated Linear Networks
저자
by
Veness, Joel
;
Lattimore, Tor
;
Budden, David
;
Bhoopchand, Avishkar
;
Mattern, Christopher
, et al.
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Open Access (Arxiv)
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7 . Report
Progress & Compress: A scalable framework for continual learning
저자
by
Schwarz, Jonathan
;
Luketina, Jelena
;
Czarnecki, Wojciech M.
;
Grabska-Barwinska, Agnieszka
;
Teh, Yee Whye
, et al.
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7 . Report
Unsupervised Predictive Memory in a Goal-Directed Agent
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by
Wayne, Greg
;
Hung, Chia-Chun
;
Amos, David
;
Mirza, Mehdi
;
Ahuja, Arun
, et al.
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Open Access (Arxiv)
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7 . Report
Online Learning with Gated Linear Networks
저자
by
Veness, Joel
;
Lattimore, Tor
;
Bhoopchand, Avishkar
;
Grabska-Barwinska, Agnieszka
;
Mattern, Christopher
, et al.
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7 . Report
Overcoming catastrophic forgetting in neural networks
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by
Kirkpatrick, James
;
Pascanu, Razvan
;
Rabinowitz, Neil
;
Veness, Joel
;
Desjardins, Guillaume
, et al.
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7 . Periodical
Effective gene expression prediction from sequence by integrating long-range interactions
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by
Avsec, Žiga
;
Agarwal, Vikram
;
Visentin, Daniel
;
Ledsam, Joseph R.
;
Grabska-Barwinska, Agnieszka
, et al.
소스
Nature Methods; October 2021, Vol. 18 Issue: 10 p1196-1203, 8p
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7 .
Gated Linear Networks
저자
by
Veness, Joel
;
Lattimore, Tor
;
Budden, David
;
Bhoopchand, Avishkar
;
Mattern, Christopher
, et al.
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Proceedings of the AAAI Conference on Artificial Intelligence
. 35:10015-10023
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7 . Academic Journal
Overcoming catastrophic forgetting in neural networks.
저자
by
Kirkpatrick, James
;
Pascanu, Razvan
;
Rabinowitz, Neil
;
Veness, Joel
;
Desjardins, Guillaume
, et al.
소스
Proceedings of the National Academy of Sciences of the United States of America
. 3/28/2017, Vol. 114 Issue 13, p3521-3526. 6p. 4 Graphs.
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