Semi-supervised learning objectives as log-likelihoods in a generative model of data curation.Stoil GanevLaurence Aitchison
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations O网页链接AI综述:本文旨在分析自监督学习中两种主要学习范式——joint-embedding based learning 和 reconstruction-based learning,以及它们对于视觉转换器表示的结构和可转移性的影响。分析表明,两种学习范式...
We reformulate the problem of supervised learning in neural nets to include the search for a network with minimal resources. The information processing in feedforward networks is described in geometrical terms as the partitioning of the ... P Ruján,M Marchand - 《Complex Systems》 被引量: 47发...
Self-training with semi-supervised learning algorithms allows highly accurate deep neural networks to be learned using only a fraction of labeled data. However, most self-training work focuses on improving accuracy, while practical machine learning systems have non-decomposable goals, such as maximizing...
Classify:this can be a collection of supervised machine-learning algorithms for classification Regression:this can be a collection of supervised machine-learning algorithms for regression Evaluate:this can be the cross-validation and sampling-based mostly procedures ...
2 Related Work As machine learning is being more widely applied in modern society, researchers have begun identifying the criticality of algorithmic fairness. Various studies have considered algorithmic fairness in problems such as supervised classification [20, 23, 28]. When aiming to protect ...
Use of an interactive computer-assisted learning program to teach basic skills in obtaining drug information was investigated with 26 doctoral pharmacy stu... CL Tunget - 《American Journal of Pharmaceutical Education》 被引量: 8发表: 1993年 Enlarging drug dictionary with semi-supervised learning for...
One approach could be to combine Reinforcement Learning with supervised learning techniques for natural language processing. In this case, the AI agent could learn a policy for selecting instances of the theme using features derived from the text. The agent’s performance would be evaluated based on...
Learning accurate and generalizable models of dynamical systems is of interest in a wide variety of research areas. In a previous work [1], we analyzed a Bayesian system identification (ID) algorithm that uses a hidden Markov model (HMM) with stochastic dynamics to model the underlying system....
These show that the person likes being with children and has an interest in learning. The other two are irrelevant and may give the impression that the person is not mature enough for the role. Pro Tip: Don’t go overboard and list everything in this section - a couple of examples are...