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