当前标签：empirical

CONTRASTIVE REPRESENTATION DISTILLATION

馒头and花卷 2020-10-10 20:49 阅读:806 评论:0 推荐:0

What is being transferred in transfer learning?

馒头and花卷 2020-10-07 21:55 阅读:516 评论:0 推荐:0

Feature Distillation With Guided Adversarial Contrastive Learning

馒头and花卷 2020-10-05 23:29 阅读:984 评论:0 推荐:0

A Simple Framework for Contrastive Learning of Visual Representations

馒头and花卷 2020-09-28 20:24 阅读:1286 评论:0 推荐:1

Momentum Contrast for Unsupervised Visual Representation Learning

馒头and花卷 2020-09-28 19:44 阅读:595 评论:0 推荐:0

Universal adversarial perturbations

馒头and花卷 2020-06-03 21:51 阅读:790 评论:0 推荐:0

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

馒头and花卷 2020-05-28 15:05 阅读:656 评论:0 推荐:0

ADVERSARIAL EXAMPLES IN THE PHYSICAL WORLD

馒头and花卷 2020-05-05 20:31 阅读:1150 评论:4 推荐:0

DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT

馒头and花卷 2020-04-09 22:31 阅读:539 评论:0 推荐:0

AUGMIX : A SIMPLE DATA PROCESSING METHOD TO IMPROVE ROBUSTNESS AND UNCERTAINTY

馒头and花卷 2020-03-24 13:49 阅读:639 评论:0 推荐:0

Towards Deep Learning Models Resistant to Adversarial Attacks

馒头and花卷 2020-03-04 20:08 阅读:941 评论:0 推荐:0

AlexNet: ImageNet Classiﬁcation with Deep Convolutional Neural Networks

馒头and花卷 2019-07-19 12:08 阅读:725 评论:0 推荐:0