当前标签：theoretical

Visualizing Data using t-SNE

馒头and花卷 2020-09-03 22:32 阅读:851 评论:0 推荐:0

Max-Mahalanobis Linear Discriminant Analysis Networks

馒头and花卷 2020-07-04 22:43 阅读:209 评论:0 推荐:0

Adversarially Robust Generalization Requires More Data

馒头and花卷 2020-06-02 20:46 阅读:329 评论:0 推荐:0

Understanding Black-box Predictions via Influence Functions

馒头and花卷 2020-05-21 21:06 阅读:459 评论:0 推荐:0

Adversarial Examples Are Not Bugs, They Are Features

馒头and花卷 2020-05-15 16:07 阅读:738 评论:17 推荐:1

A Primer on Domain Adaptation Theory and Applications

馒头and花卷 2020-05-04 19:29 阅读:365 评论:0 推荐:0

Orthogonal Convolutional Neural Networks

馒头and花卷 2020-04-23 22:56 阅读:737 评论:0 推荐:0

[Box] Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint

馒头and花卷 2020-04-23 14:53 阅读:276 评论:0 推荐:0

[Kaiming]Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

馒头and花卷 2020-04-23 13:19 阅读:478 评论:0 推荐:0

[Xavier] Understanding the difficulty of training deep feedforward neural networks

馒头and花卷 2020-04-23 10:51 阅读:454 评论:0 推荐:0

Differential Evolution: A Survey of the State-of-the-Art

馒头and花卷 2020-04-13 23:43 阅读:577 评论:0 推荐:0

Gradient-based Hyperparameter Optimization through Reversible Learning

馒头and花卷 2020-04-08 16:56 阅读:391 评论:0 推荐:0

Auto-Encoding Variational Bayes

馒头and花卷 2020-04-02 19:04 阅读:1017 评论:0 推荐:0

Theoretically Principled Trade-off between Robustness and Accuracy

馒头and花卷 2020-03-12 14:24 阅读:1537 评论:0 推荐:0

A Deep Neural Network’s Loss Surface Contains Every Low-dimensional Pattern

馒头and花卷 2020-02-25 22:14 阅读:257 评论:0 推荐:0

The Expressive Power of Neural Networks: A View from the Width

馒头and花卷 2020-02-24 13:51 阅读:445 评论:0 推荐:0

Optimization Landscape and Expressivity of DeepCNNs

馒头and花卷 2019-11-22 12:50 阅读:532 评论:0 推荐:0

On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization

馒头and花卷 2019-10-18 22:10 阅读:603 评论:0 推荐:0

Essentially No Barriers in Neural Network Energy Landscape

馒头and花卷 2019-09-14 21:24 阅读:400 评论:0 推荐:0