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Learning is a process wherein a learning agent enhances its performance through exposure of experience or data.
Sulla determinazione empirica delle leggi di probabilita
Valery Glivenko · 1933
Earlier work this paper cites.
Sulla determinazione empirica delle leggi di probabilita
Francesco Paolo Cantelli · 1933
Earlier work this paper cites.
Channels with Side Information at the Transmitter
Claude E. Shannon · 1958
Earlier work this paper cites.
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
Vladimir Vapnik and Alexey Chervonenkis · 1971
Earlier work this paper cites.
A Theory of the Learnable
Leslie G. Valiant · 1972
Earlier work this paper cites.
The influence of pattern similarity and transfer learning upon the training of a base perceptron B2
Stevo Bozinovski and Ante Fulgosi · 1976
Earlier work this paper cites.
The strength of weak learnability
Robert E Schapire · 1990
Earlier work this paper cites.
On the optimization of a synaptic learning rule
Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, and Jan Gecsei · 1992
Earlier work this paper cites.
Continual learning in reinforcement environments
Mark B. Ring · 1994
Earlier work this paper cites.
An introduction to computational learning theory
Michael J Kearns and Umesh V Vazirani · 1994
Earlier work this paper cites.
Lifelong robot learning
Sebastian Thrun and Tom M Mitchell · 1995
Earlier work this paper cites.
Is learning the n-th thing any easier than learning the first?
Sebastian Thrun · 1996
Earlier work this paper cites.
Multitask Learning
Rich Caruana · 1997
Earlier work this paper cites.
Statistical learning theory , volume 2 of
Vladimir Naumovich Vapnik · 1998
Earlier work this paper cites.
A Model of Inductive Bias Learning
Jonathan Baxter · 2000
Earlier work this paper cites.
The concepts of ’sameness’ and ’difference’ in an insect
Martin Giurfa, Shaowu Zhang, Arnim Jenett, Randolf Menzel, and Mandyam V. Srinivasan · 2001
Earlier work this paper cites.
Frustratingly easy domain adaptation
Hal Daumé III · 2007
Earlier work this paper cites.
Covariate Shift by Kernel Mean Matching
Arthur Gretton, Alex Smola, Jiayuan Huang, Marcel Schmittfull, Karsten Borgwardt, and Bernhard Schölkopf · 2008
Earlier work this paper cites.
Learnability, stability and uniform convergence
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, and Karthik Sridharan · 2010
Earlier work this paper cites.
A survey on transfer learning
Sinno J. Pan and Qiang Yang · 2010
Earlier work this paper cites.
Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, and Adam White · 2011
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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ELLA: An Efficient Lifelong Learning Algorithm
Paul Ruvolo and Eric Eaton · 2013
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Domain Generalization via Invariant Feature Representation
Krikamol Muandet, David Balduzzi, and Bernhard Schölkopf · 2013
Cited alongside, same era.
Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz and Shai Ben-David · 2014
Cited alongside, same era.
The Ecological Approach to Visual Perception: Classic Edition (Psychology Press & Routledge Classic Editions)
James J Gibson · 2014
Cited alongside, same era.
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning
Haitham Bou Ammar, Eric Eaton, Jose Marcio Luna, and Paul Ruvolo · 2015
Learning shared knowledge for deep lifelong learning using deconvolutional networks
Seungwon Lee, James Stokes, and Eric Eaton · 2019
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Rebooting AI: Building Artificial Intelligence We Can Trust
Gary Marcus and Ernest Davis · 2019
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A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, and Tinne Tuytelaars · 2019
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Facebook’s Head of AI Says the Field Will Soon ‘Hit the Wall’
Will Knight · 2019
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AI winter is well on its way
Filip Piekniewski · 2019
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International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg C Corrado, Ara Darzi, Mozziyar Etemadi, Florencia Garcia-Vicente, Fiona J Gilbert, Mark Halling-Brown, Demis Hassabis, Sunny Jansen, Alan Karthikesalingam, Christopher J Kelly, Dominic King, Joseph R Ledsam, David Melnick, Hormuz Mostofi, Lily Peng, Joshua Jay Reicher, Bernardino Romera-Paredes, Richard Sidebottom, Mustafa Suleyman, Daniel Tse, Kenneth C Young, Jeffrey De Fauw, and Shravya Shetty · 2020
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Mathematical Statistics Basic Ideas and Selected Topics, Volume I, Second Edition
Peter Bickel J and Kjell Doksum A · 2015
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Gradient Episodic Memory for Continual Learning
David Lopez-Paz and Marc’ Aurelio Ranzato · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Continual Learning Through Synaptic Intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell · 2017
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Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman · 2017
Cited alongside, same era.
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OpenAI’s Dota 2 AI steamrolls world champion e-sports team with back-to-back victories
Nick Statt · 2020
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Improved protein structure prediction using potentials from deep learning
Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T Jones, David Silver, Koray Kavukcuoglu, and Demis Hassabis · 2020
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The unreasonable effectiveness of deep learning in artificial intelligence
Terrence J Sejnowski · 2020
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Omnidirectional Transfer for Quasilinear Lifelong Learning
Joshua T Vogelstein, Jayanta Dey, Hayden S Helm, Will LeVine, Ronak D Mehta, Ali Geisa, Gido M van de Ven, Emily Chang, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M White, and Carey E Priebe · 2020
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Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal and Yoshua Bengio · 2020
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Model selection for optimal prediction in statistical machine learning
Ernest Fokoué · 2020
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The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus · 2020
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On Crashing the Barrier of Meaning in Artificial Intelligence
Melanie Mitchell · 2020
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AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
Karen Hao · 2020
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Why general artificial intelligence will not be realized
Ragnar Fjelland · 2020
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Out of Distribution Generalization in Machine Learning
Martin Arjovsky · 2021
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The Bitter Lesson
Richard S. Sutton · 2021
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Do we still need models or just more data and compute?
Max Welling · 2021
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https://montrealartificialintelligence.com/aidebate/
DEBATE : Yoshua Bengio | Gary Marcus · 2021
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