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Weak attributes for large-scale image retrieval.

, , , , and . CVPR, page 2949-2956. IEEE Computer Society, (2012)

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Loss Decomposition for Fast Learning in Large Output Spaces., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5626-5635. PMLR, (2018)Tamp: A Library for Compact Deep Neural Networks with Structured Matrices., , , and . ACM Multimedia, page 1206-1209. ACM, (2016)Federated Learning: Strategies for Improving Communication Efficiency, , , , , and . (2016)cite arxiv:1610.05492.Sampled Softmax with Random Fourier Features., , , , and . NeurIPS, page 13834-13844. (2019)Spherical Random Features for Polynomial Kernels., , and . NIPS, page 1846-1854. (2015)Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8890-8901. PMLR, (2021)The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2023)Designing Category-Level Attributes for Discriminative Visual Recognition., , , , and . CVPR, page 771-778. IEEE Computer Society, (2013)Distributed Mean Estimation with Limited Communication., , , and . CoRR, (2016)\(\propto\)SVM for Learning with Label Proportions., , , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 504-512. JMLR.org, (2013)