[16] Cristina Segalin, Jalani Williams, Tomomi Karigo, May Hui, Moriel Zelikowsky, Jennifer J Sun, Pietro Perona, David J Anderson, and Ann Kennedy. The mouse action recognition system (mars) software pipeline for automated analysis of social behaviors in mice. *Elife*, 10, 2021.
[17] Shaokai Ye, Anastasiia Filippova, Jessy Lauer, Maxime Vidal, Steffen Schneider, Tian Qiu, Alexander Mathis, and Mackenzie Weygandt Mathis. Superanimal pretrained pose estimation models for behavioral analysis. arXiv preprint arXiv:2203.07436, 2023.
[18] Zachary T. Pennington, Zhe Dong, Yu Feng, Lauren M. Vetere, Lucia Page-Harley, Tristan Shuman, and Denise J. Cai. eztrack: An open-source video analysis pipeline for the investigation of animal behavior. Scientific Reports, 9, 2019.
[19] Mehdi Azabou, Michael Mendelson, Maks Sorokin, Shantanu Thakoor, Nauman Ahad, Carolina Urzay, and Eva L Dyer. Learning behavior representations through multi-timescale bootstrapping. arXiv preprint arXiv:2206.07041, 2022.
[20] Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805, 2018.
[21] Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research, 21(1):5485-5551, 2020.
[22] Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. Language models are few-shot learners. Advances in neural information processing systems, 33:1877-1901, 2020.
[23] Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35:27730-27744, 2022.
[24] Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al. Flamingo: a visual language model for few-shot learning. Advances in Neural Information Processing Systems, 35:23716-23736, 2022.
[25] Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, and Furu Wei. Language models are general-purpose interfaces. arXiv preprint arXiv:2206.06336, 2022.
[26] Tanmay Gupta and Aniruddha Kembhavi. Visual programming: Compositional visual reasoning without training. arXiv preprint arXiv:2211.11559, 2022.
[27] Dídac Surís, Sachit Menon, and Carl Vondrick. Vipergpt: Visual inference via python execution for reasoning. arXiv preprint arXiv:2303.08128, 2023.
[28] Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. Huggingppt: Solving ai tasks with chatgpt and its friends in huggingface. arXiv preprint arXiv:2303.17580, 2023.
[29] Joon Sung Park, Joseph C O'Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. Generative agents: Interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442, 2023.
[30] Jennifer J Sun, Ann Kennedy, Eric Zhan, David J Anderson, Yisong Yue, and Pietro Perona. Task programming: Learning data efficient behavior representations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2876-2885, 2021.
[31] Kevin Luxem, Petra Mocellin, Falko Fuhrmann, Johannes Kursch, Stefan Remy, and Pavol Bauer. Identifying behavioral structure from deep variational embeddings of animal motion. Communications Biology, 5, 2020.
[32] Eleanor Batty, Matthew R Whiteway, Shreya Saxena, Dan Biderman, Taiga Abe, Simon Musall, Winthrop F. Gillis, Jeffrey E. Markowitz, Anne K. Churchland, John P. Cunningham, Sandeep Robert Datta, Scott W. Linderman, and Liam Paninski. Behavenet: nonlinear embedding and bayesian neural decoding of behavioral videos. In Neural Information Processing Systems, 2019.
[33] Fabrice De Chaumont, Elodie Ey, Nicolas Torquet, Thibault Lagache, Stephane Dallongeville, Albane Imbert, Thierry Legou, Anne-Marie Le Sourd, Philippe Faure, Thomas Bourgeron, et al. Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning. Nature biomedical engineering, 3(11):930-942, 2019.