Abstract Open-set classification is a problem of handling 'unknown' classes that are not contained in the training dataset, whereas traditional classifiers assume that only known classes appear in the test environment. Existing open-set classifiers r…

1 Feature Generating Networks for Zero-Shot Learning Suffering from the extreme training data imbalance between seen and unseen classes, most ofexisting state-of-the- art approaches fail to achieve satisfactory results for the challenging generalized…

深度学习在最近十来年特别火,几乎是带动AI浪潮的最大贡献者.互联网视频在最近几年也特别火,短视频.视频直播等各种新型UGC模式牢牢抓住了用户的消费心里,成为互联网吸金的又一利器.当这两个火碰在一起,会产生什么样的化学反应呢? 不说具体的技术,先上一张福利图,该图展示了机器对一个视频的认知效果.其总红色的字表示objects, 蓝色的字表示scenes,绿色的字表示activities. 图1 人工智能在视频上的应用主要一个课题是视频理解,努力解决“语义鸿沟”的问题,其中包括了:     · 视频…

一.Training of a Single-Layer Neural Network 1 Delta Rule Consider a single-layer neural network, as shown in Figure 2-11. In the figure, d i is the correct output of the output node i. Long story short, the delta rule adjusts the weight as the follow…

如何提高深度学习性能 20 Tips, Tricks and Techniques That You Can Use ToFight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: H…

What are the advantages of different classification algorithms? For instance, if we have large training data set with approx more than 10000 instances and more than 100000 features ,then which classifier will be best to choose for classification Want…

<Machine Learning - 李宏毅> 学习笔记 b站视频地址:李宏毅2019国语 第一章 机器学习介绍 Hand crafted rules Machine learning ≈ looking for a function from data Speech recognition Image recognition Playing go Dialogue system Framework define a set of function goodness of function…

Human-level control through deep reinforcement learning Nature 2015 Google DeepMind Abstract RL 理论 在动物行为上,深入到心理和神经科学的角度,关于在一个环境中如何使得 agent 优化他们的控制,提供了一个正式的规范.为了利用RL成功的接近现实世界的复杂度的环境中,然而,agents 遇到了一个难题:他们必须从高维感知输入中得到环境的有效表示,然后利用这些来将过去的经验应用到新的场景中去.显著地,人…

http://www.cv-foundation.org/openaccess/CVPR2016.py ORAL SESSION Image Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1   Deep Compositional Captioning: Descr…

CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…