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WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web., , , , , , , , , и . Artif. Life, 22 (3): 364-407 (2016)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, , , , , , , , , и 43 other автор(ы). (2018)cite arxiv:1803.03453.Language Models are Few-shot Multilingual Learners., , , , , и . CoRR, (2021)Understanding Neural Networks via Feature Visualization: A Survey., , и . Explainable AI, том 11700 из Lecture Notes in Computer Science, Springer, (2019)LCA: Loss Change Allocation for Neural Network Training., , , и . NeurIPS, стр. 3614-3624. (2019)Convergent Learning: Do different neural networks learn the same representations?, , , , и . FE@NIPS, том 44 из JMLR Workshop and Conference Proceedings, стр. 196-212. JMLR.org, (2015)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , и 441 other автор(ы). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities., , , , , , , , , и 43 other автор(ы). Artif. Life, 26 (2): 274-306 (2020)Metropolis-Hastings Generative Adversarial Networks, , , и . (2018)cite arxiv:1811.11357.Deep Generative Stochastic Networks Trainable by Backprop., , и . CoRR, (2013)