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LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes., , , , , , , , and . NeurIPS, page 23900-23913. (2021)What's Hidden in a Randomly Weighted Neural Network?, , , , and . CVPR, page 11890-11899. Computer Vision Foundation / IEEE, (2020)Forward Compatible Training for Large-Scale Embedding Retrieval Systems., , , , and . CVPR, page 19364-19373. IEEE, (2022)Improving Shape Deformation in Unsupervised Image-to-Image Translation., , , , and . ECCV (12), volume 11216 of Lecture Notes in Computer Science, page 662-678. Springer, (2018)Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent., , , , and . EMNLP (1), page 1766-1781. Association for Computational Linguistics, (2021)Matryoshka Representation Learning., , , , , , , , , and 1 other author(s). NeurIPS, (2022)Soft Threshold Weight Reparameterization for Learnable Sparsity., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5544-5555. PMLR, (2020)The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better., , , , , , and . CoRR, (2024)Neural Radiance Field Codebooks., , , , , , and . ICLR, OpenReview.net, (2023)What's Hidden in a Randomly Weighted Neural Network?, , , , and . (2019)cite arxiv:1911.13299.