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EmoNets: Multimodal deep learning approaches for emotion recognition in video., , , , , , , , , and 8 other author(s). J. Multimodal User Interfaces, 10 (2): 99-111 (2016)Combining modality specific deep neural networks for emotion recognition in video., , , , , , , , , and 17 other author(s). ICMI, page 543-550. ACM, (2013)Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets., , and . NIPS, page 1108-1116. (2015)Dropout as data augmentation., , , and . CoRR, (2015)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.An Evaluation of Fisher Approximations Beyond Kronecker Factorization., , , , and . ICLR (Workshop), OpenReview.net, (2018)Accounting for Variance in Machine Learning Benchmarks., , , , , , , , , and 7 other author(s). CoRR, (2021)Exact gradient updates in time independent of output size for the spherical loss family., , and . CoRR, (2016)Unreproducible Research is Reproducible., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 725-734. PMLR, (2019)EmoNets: Multimodal deep learning approaches for emotion recognition in video., , , , , , , , , and 8 other author(s). CoRR, (2015)