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Pebbles W., Pebbles J., Zhu J., Efros A., Torralba A. The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. arXiv preprint arXiv 2008.10 阅读全文
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Chen T., Kornblith S., Norouzi M., Hinton G. A Simple Framework for Contrastive Learning of Visual Representations. arXiv: Learning, 2020. @article{ch 阅读全文
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He K., Fan H., Wu Y., Xie S., Girshick R. Momentum Contrast for Unsupervised Visual Representation Learning. arXiv preprint arXiv:1911.05722, 2019. @A 阅读全文
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Den Oord A V, Li Y, Vinyals O, et al. Representation Learning with Contrastive Predictive Coding.[J]. arXiv: Learning, 2018. Henaff O J, Srinivas A, D 阅读全文
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Chopra S, Hadsell R, Lecun Y, et al. Learning a similarity metric discriminatively, with application to face verification[C]. computer vision and patt 阅读全文
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Gutmann M U, Hyvarinen A. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models[C]. international conference on 阅读全文
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Cohen J., Rosenfeld E., Kolter J. Certified Adversarial Robustness via Randomized Smoothing. International Conference on Machine Learning (ICML), 2019 阅读全文
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Lecuyer M, Atlidakis V, Geambasu R, et al. Certified Robustness to Adversarial Examples with Differential Privacy[C]. ieee symposium on security and p 阅读全文
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Sabour S, Frosst N, Hinton G E, et al. Dynamic Routing Between Capsules[C]. neural information processing systems, 2017: 3856-3866. 概 虽然11年就提出了capsule 阅读全文
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Li Y., Xie L., Zhang Y., Zhang R., Wang Y., Tian Q., Defending Adversarial Attacks by Correcting logits[J]. arXiv: Learning, 2019. 概 作者认为, adversarial 阅读全文
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Der Maaten L V, Hinton G E. Visualizing data using t-SNE[J]. Journal of Machine Learning Research, 2008: 2579-2605. 概 t-sne是一个非常经典的可视化方法. 主要内容 我们希望, 将 阅读全文
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Luigi Ambrosio, Giuseppe Da Prato, Andrea Mennucci, An Introduction to Measure Theory and Probability. Chapter 1 Measure spaces Index: ring/algebras P 阅读全文
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Chapter 4 Inverse Function Theorem 这个章节讲得很好, 还引用了庄子秋水中的一段话, 大佬啊. 4.1 The Inverse Function Theorem 映射$F: \mathbb^n \rightarrow \mathbbm$在$p_0$可微, 若存在$D 阅读全文
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JOHNNY HU, BAIRE ONE FUNCTIONS. 一些基本的定义(诸如逐点收敛, 一致收敛$F_{\sigma}$集合等)就不叙述了. 定义 Definition: 令$D\subseteq \mathbb$, 函数$f:D\rightarrow \mathbb\(, 若存在连续函数列 阅读全文
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Hu S, Yu T, Guo C, et al. A New Defense Against Adversarial Images: Turning a Weakness into a Strength[C]. neural information processing systems, 2019 阅读全文
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Mustafa A., Khan S., Hayat M., Goecke R., Shen J., Shao L., Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, arXiv preprin 阅读全文
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Ma X, Li B, Wang Y, et al. Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality[J]. arXiv: Learning, 2018. @article{ma2018charact 阅读全文
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Wang H, Wang Y, Zhou Z, et al. CosFace: Large Margin Cosine Loss for Deep Face Recognition[C]. computer vision and pattern recognition, 2018: 5265-527 阅读全文
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Pang T, Du C, Zhu J, et al. Max-Mahalanobis Linear Discriminant Analysis Networks[C]. international conference on machine learning, 2018: 4013-4022. @ 阅读全文
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Wang X., He K., Guo C., Weinberger K., Hopcroft H., AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. arX 阅读全文