A collection of books, papers, and articles on our continental shelves 🌊📚
- Tim Sainburg, Marvin Thielk, Timothy Q Gentner: "Latent space visualization, characterization, and generation of diverse vocal communication signals", 2019 An exploration of generative latent spaces and umap for a 20 species.
- T. Mikolov, K. Chen, G. Corrado: "Efficient Estimation of Word Representations in Vector Space", 2013
- M. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee: "Deep contextualized word representations", 2018
- Tal Schuster, Ori Ram, Regina Barzilay: “Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing”, 2019
- K. Ethayarajh: “How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings”, 2019
- K. Ethayarajh, D. Duvenaud, G. Hirst: “Towards Understanding Linear Word Analogies”, 2018
- A. Conneau, G. Lample, M. Ranzato, L. Denoyer: "Word Translation Without Parallel Data", 2017
- M. Artetxe, G. Labaka, E. Agirre: “Unsupervised Neural Machine Translation”, 2017
- D. Cer, Y. Yang, S. Kong, N. Hua, N. Limtiaco, R. John, N. Constant, M. Guajardo-Cespedes, S. Yuan, C. Tar, Y. Sung, B.: "Universal Sentence Encoder", 2018
- Y. Chung, W. Weng, S. Tong, J. Glass: "Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces", 2018
- [Are We Smart Enough to Know How Smart Animals Are?](https://openlibrary.org/works/OL17762162W/Are_We_Smart_Enough_to_Know_How_Smart_Animals_Are], by Frans de Waal
- Animal Liberation, by Peter Singer Reflections on rights and equality.