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Understanding and correcting pathologies in the training of learned optimizers.

, , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4556-4565. PMLR, (2019)

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Claudia Lüke

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Parallel Training of Deep Networks with Local Updates., , , , , , , и . CoRR, (2020)Noise-Reuse in Online Evolution Strategies., , , , и . CoRR, (2023)Learning to Learn Without Labels., , , и . ICLR (Workshop), OpenReview.net, (2018)Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks., , и . ICLR (Poster), (2016)Using learned optimizers to make models robust to input noise., , , , и . CoRR, (2019)Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract)., , и . IJCAI, стр. 5354-5358. ijcai.org, (2022)Towards GAN Benchmarks Which Require Generalization., , и . ICLR (Poster), OpenReview.net, (2019)Reverse engineering learned optimizers reveals known and novel mechanisms., , , , и . NeurIPS, стр. 19910-19922. (2021)Learn2Hop: Learned Optimization on Rough Landscapes., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 7643-7653. PMLR, (2021)Discovered Policy Optimisation., , , , , и . NeurIPS, (2022)