Pattern recognition, Neural network, Backpropagation, Predictive analytics, Perceptron, Unsupervised learning

Practical Obstacles to Deploying Active Learning

On Sep 18, 2020
@zacharylipton shared
RT @jkkummerfeld: finding that for some tasks iid samples are as good as samples from Active Learning with a different model. For more see the paper https://t.co/LTkUislPf7 and my blog post about it https://t.co/5e9teb0gyA
Open

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 21–30, Hong Kong, China, November 3–7, 2019. c©2019 Association for Computational Linguistics 21 Practical Obstacles to ...

www.aclweb.org
On Sep 18, 2020
@zacharylipton shared
RT @jkkummerfeld: finding that for some tasks iid samples are as good as samples from Active Learning with a different model. For more see the paper https://t.co/LTkUislPf7 and my blog post about it https://t.co/5e9teb0gyA
Open

Practical Obstacles to Deploying Active Learning

Practical Obstacles to Deploying Active Learning

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 21–30, Hong Kong, ...

Click here to read the article

Click here to read the article

(a) SVM on Movies dataset 5 10 15 20 25 training set size (percentage of pool) 0.58 0.60 0.62 0.64 0.66 0.68 0.70 ac cu ra cy (b) CNN on Movies dataset 5 10 15 20 25 training set size ...

Deep learning vs. machine learning: Understand the differences

Deep learning vs. machine learning: Understand the differences

Both machine learning and deep learning discover patterns in data, but involve dramatically different techniques

Sentiment Analysis using Deep Learning

Sentiment Analysis using Deep Learning

Introduction The growth of the internet due to social networks such as facebook, twitter, Linkedin,  instagram etc. has led to significant users interaction an…