A SYSTEM FOR INCREMENTAL LEARNING BASED ON ALGORITHMIC PROBABILITY

By Ray J. Solomonoff. 1989

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Citations in the corpus

Continual Lifelong Learning in Natural Language Processing: A Survey (2020, background): “, 2017), incremental learning (Solomonoff, 1989; Chaudhry et al., 2018), sequential learning (McCloskey and Cohen, 1989; Shin et al.”
Knowledge Matters: Importance of Prior Information for Optimization (2013, background): “Curriculum learning (Bengio et al., 2009a) and incremental learning (Solomonoﬀ, 1989), are examples of this.”
Optimal Ordered Problem Solver (2002, neutral): “A heuristic attempt (Schmidhuber et al., 1997b) to greatly reduce the constants through experience was called Adaptive Lsearch or Als — compare related ideas by Solomonoﬀ (1986, 1989).”
On Training Recurrent Neural Networks for Lifelong Learning (2018, background): “This has several names and manifestations in the literature: incremental learning (Solomonoff, 1989), continual learning (Ring, 1997), explanation-based learning (Thrun, 1996, 2012), never ending learning (Carlson et al., 2010), etc.”
Lifelong Machine Learning Systems: Beyond Learning Algorithms (2013, background): “Theories on how to select inductive bias and modify the representational space of hypotheses (Solomonoff 1989) will be of significant value to AI and brain science.”
Neural Networks and Deep Learning (2018, unknown): “A number of methods were proposed in the early years [112, 422, 464] that showed the advantages of curriculum learning.”
Environments for Lifelong Reinforcement Learning (2018, background): “This process bears different names in the literature - incremental and continual learning [Solomonoff, 1989], never-ending learning [Carlson et al., 2010], etc.”
Machine Lifelong Learning: Challenges and Benefits for Artificial General Intelligence (2011, background): “The study of lifelong learning systems will provided insight into curriculum and training sequences that are beneficial for both humans and machines [11,4].”
Toward Training Recurrent Neural Networks for Lifelong Learning (2019, background): “This has several names and manifestations in the literature— incremental learning (Solomonoff, 1989), continual learning (Ring, 1997), explanation-based learning (Thrun, 1996, 2012), never-ending learning (Carlson et al., 2010), and others.”