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Unsupervised Learning From Video With Deep Neural Embeddings.

, , , , and . CVPR, page 9560-9569. Computer Vision Foundation / IEEE, (2020)

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Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream., , , and . NIPS, page 3093-3101. (2013)Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures., , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 115-123. JMLR.org, (2013)Group control and kernels: the 1-d equigrouping problem., , and . CDC, page 2460-2466. IEEE, (2004)StarFlow: A Script-Centric Data Analysis Environment., , and . IPAW, volume 6378 of Lecture Notes in Computer Science, page 236-250. Springer, (2010)Measuring and Modeling Physical Intrinsic Motivation., , , , , and . CogSci, cognitivesciencesociety.org, (2023)Unsupervised Learning from Video with Deep Neural Embeddings., , and . CoRR, (2019)Local Aggregation for Unsupervised Learning of Visual Embeddings., , and . ICCV, page 6001-6011. IEEE, (2019)Mapping core similarity among visual objects across image modalities., , , and . SIGGRAPH Posters, page 67:1. ACM, (2014)Conditional Negative Sampling for Contrastive Learning of Visual Representations., , , , and . ICLR, OpenReview.net, (2021)The emergence of global properties from local interactions: static properties and one-dimensional patterns.. AAMAS, page 1122-1124. ACM, (2006)