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Conditional Negative Sampling for Contrastive Learning of Visual Representations.

, , , , and . ICLR, OpenReview.net, (2021)

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Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus., , , , , and . CoRR, (2023)Visual Grounding Helps Learn Word Meanings in Low-Data Regimes., , and . CoRR, (2023)Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons., , , and . Frontiers Comput. Neurosci., (2017)Unsupervised Learning From Video With Deep Neural Embeddings., , , , and . CVPR, page 9560-9569. Computer Vision Foundation / IEEE, (2020)Visual Grounding Helps Learn Word Meanings in Low-Data Regimes., , and . NAACL-HLT, page 1311-1329. Association for Computational Linguistics, (2024)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)Flexible neural representation for physics prediction., , , , , , and . NeurIPS, page 8813-8824. (2018)Conditional Negative Sampling for Contrastive Learning of Visual Representations., , , , and . ICLR, OpenReview.net, (2021)Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling., , and . ACL (Findings), page 231-247. Association for Computational Linguistics, (2024)