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The geometry of integration in text classification RNNs., , , , , and . CoRR, (2020)Understanding How Encoder-Decoder Architectures Attend., , , and . NeurIPS, page 22184-22195. (2021)Reverse engineering learned optimizers reveals known and novel mechanisms., , , , and . NeurIPS, page 19910-19922. (2021)Learning to Learn Without Labels., , , and . ICLR (Workshop), OpenReview.net, (2018)Using learned optimizers to make models robust to input noise., , , , and . CoRR, (2019)Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics., , , , and . NeurIPS, page 15670-15679. (2019)Recurrent Segmentation for Variable Computational Budgets., , , and . CoRR, (2017)Meta-Learning Update Rules for Unsupervised Representation Learning., , , and . ICLR, OpenReview.net, (2019)Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves., , , , and . CoRR, (2020)Recurrent Segmentation for Variable Computational Budgets., , , and . CVPR Workshops, page 1648-1657. Computer Vision Foundation / IEEE Computer Society, (2018)