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Bits of Grass: Does GPT already know how to write like Whitman?

, , , , , and . ICCC, page 317-321. Association for Computational Creativity (ACC), (2023)

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Pushing GPT's Creativity to Its Limits: Alternative Uses and Torrance Tests., , , , and . ICCC, page 342-346. Association for Computational Creativity (ACC), (2023)SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes., and . SemEval@COLING, page 804-816. International Committee for Computational Linguistics, (2020)Bits of Grass: Does GPT already know how to write like Whitman?, , , , , and . ICCC, page 317-321. Association for Computational Creativity (ACC), (2023)Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls., , , , and . ICCC, page 34-43. Association for Computational Creativity (ACC), (2022)Posterior Collapse in Variational Gradient Origin Networks., and . ICMLA, page 980-987. IEEE, (2023)Comparing Explanations between Random Forests and Artificial Neural Networks., and . SMC, page 2978-2985. IEEE, (2019)Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders., and . J. Mach. Learn. Res., (2023)Self-adaptive artificial intelligence., and . SEAMS@ICSE, page 155-156. ACM, (2019)FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders., and . CoRR, (2022)The Polarised Regime of identifiable Variational Autoencoders., and . Tiny Papers @ ICLR, OpenReview.net, (2023)