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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
Neural Information Processing Systems http://nips.cc/
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Multivariate Time Series Imputation with Generative Adversarial Networks
Yonghong Luo, Xiangrui Cai, Ying ZHANG, Jun Xu, Yuan xiaojie
Neural Information Processing Systems http://nips.cc/
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AQuantitativeGeometricApproachto Neural-NetworkSmoothness
The techniques for theℓ2-perturbation do not easily transfer to theℓ -case (Leino et al., 2021). One critical step is to measure the Lipschitz constant more precisely and efficiently.
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AQuantitativeGeometricApproachto Neural-NetworkSmoothness
The techniques for theℓ2-perturbation do not easily transfer to theℓ -case (Leino et al., 2021). One critical step is to measure the Lipschitz constant more precisely and efficiently.
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Fine-Grained Zero-Shot Learning with DNA as Side Information
Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes.
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