[21] Jerry Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, and Tengyu Ma. Larger Language Models do In-context Learning Differently. CoRR, abs/2303.03846, 2023.
[22] Rico Sennrich, Barry Haddow, and Alexandra Birch. Neural Machine Translation of Rare Words with Subword Units. CoRR, abs/1508.07909, 2016.
[23] Mike Schuster and Kaisuke Nakajima. Japanese and Korean Voice Search. In IEEE International Conference on Acoustics, Speech and Signal Processing, pages 5149-5152, 2012.
[24] Taku Kudo and John Richardson. SentencePiece: A Simple and Language Independent Subword Tokenizer and Detokenizer for Neural Text Processing. CoRR, abs/1808.06226, 2018.
[25] Chris Burgess and Hyunjik Kim. 3D Shapes Dataset. https://github.com/deepmind/3dshapes-dataset/, 2018.
[26] Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross Girshick. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR, abs/1612.06890, 2016.
[27] Klaus Greff, Sjoerd van Steenkiste, and Jürgen Schmidhuber. On the Binding Problem in Artificial Neural Networks. CoRR, abs/2012.05208, 2020.
[28] Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, and Ingmar Posner. GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. CoRR, abs/1907.13052, 2019.
[29] Martin Engelcke, Oiwi Parker Jones, and Ingmar Posner. GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. CoRR, abs/2104/09958, 2021.
[30] Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever. Generative Pretraining From Pixels. In Hal Daumé III and Aarti Singh, editors, Proceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research, pages 1691-1703. PMLR, 13-18 July 2020.
[31] Michael Chang, Thomas L. Griffiths, and Sergey Levine. Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation. CoRR, abs/2207.00787, 2022.
[32] James C. R. Whittington, Rishabh Kabra, Loic Matthew, Christopher P. Burgess, and Alexander Lerchner. Constellation: Learning Relational Abstractions over Objects for Compositional Imagination. CoRR, abs/2107.11153, 2021.
[33] J. P. Guilford. Creativity. American Psychologist, 5(9):444, 1950.
[34] Dedre Gentner. Structure-Mapping: A Theoretical Framework for Analogy. Cognitive Science, 7(2):155-170, 1983.
[35] Arthur B. Markman and Dedre Gentner. Structural Alignment in Analogy and Similarity. American Psychologist, 48(1):40, 1993.
[36] Keith J. Holyoak and Paul Thagard. Mental Leaps: Analogy in Creative Thought. MIT Press, 1995.
[37] W. R. Reitman. Cognition and Thought: An Information Processing Approach. John Wiley and Sons, 1965.
[38] Patrick H. Winston. Learning by Creatifying Transfer Frames. Artificial Intelligence, 10(2):147-172, 1978.
[39] Brian Falkenhainer, Kenneth D. Forbus, and Dedre Gentner. The Structure-Mapping Engine: Algorithm and Examples. Artificial Intelligence, 41(1):1-63, 1989.
[40] Jeffrey E. Hummel and Keith J. Holyoak. Distributed Representations of Structure: A Theory of Analogical Access and Mapping. Psychological Review, 104(3):427-466, 1997.