painful

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31.
List of review articles on ML and AI that are on arXiv(freenode-machinelearning.github.io)
101 points by painful 8y ago|20 comments
32.
Combating Fake News: A Survey on Identification and Mitigation Techniques (2019)(arxiv.org)
1 points by painful 8y ago|0 comments
33.
Deep Learning in Spiking Neural Networks (2018-2019)(arxiv.org)
3 points by painful 8y ago|0 comments
34.
by painful 8y ago
As a reader, I skip the fake positive reviews and pay attention to the negative reviews. As a reviewer, I make sure my review stays posted, otherwise I will choose to repost.
35.
A Survey of Recent Architectures of Deep Convolutional Neural Networks (2019)(arxiv.org)
3 points by painful 8y ago|0 comments
36.
by painful 8y ago
Being frugal has nothing to do with one's income. Your advice to work a part-time job is no less irrelevant to frugality than his to engage in other ventures.
37.
A Survey on Automated Machine Learning (2018-2019)(arxiv.org)
3 points by painful 8y ago|0 comments
38.
Optimization Models for Machine Learning: A Survey (2019)(arxiv.org)
4 points by painful 8y ago|0 comments
39.
by painful 8y ago
What does this say about prediction markets? I wouldn't implicitly consider them gambling, just as the financial markets are not precisely gambling.
40.
Hybrid Recommender Systems: A Systematic Literature Review (2019)(arxiv.org)
3 points by painful 8y ago|0 comments
41.
Deep Learning for Anomaly Detection: A Survey (2019)(arxiv.org)
5 points by painful 8y ago|0 comments
42.
NLP for Fake News Detection (2018)(arxiv.org)
7 points by painful 8y ago|1 comments
43.
Fake News: A Survey of Research, Detection Methods, and Opportunities (2018)(arxiv.org)
3 points by painful 8y ago|0 comments
44.
by painful 8y ago
Okay, although the paper is more useful as an educational guide which is also why it was posted. Afaik, Bayesian techniques have never been victorious except potentially for hyperparameter tuning.
45.
Guide to Bayesian Convolutional Neural Network with Variational Inference (2019)(arxiv.org)
3 points by painful 8y ago|3 comments
46.
Deep Learning in Android Malware Detection (2018)(arxiv.org)
1 points by painful 8y ago|0 comments
47.
Deployment of Deep Learning Models on Smartphones as Apps (2019)(arxiv.org)
4 points by painful 8y ago|0 comments
48.
Learnability can be undecidable(nature.com)
15 points by painful 8y ago|2 comments
49.
Deep Learning on Graphs: A Survey (2018)(arxiv.org)
2 points by painful 8y ago|0 comments
50.
Graph Neural Networks: A Review of Methods and Applications(arxiv.org)
134 points by painful 8y ago|15 comments
51.
Face Recognition: A Novel Multi-Level Taxonomy based Survey(arxiv.org)
11 points by painful 8y ago|0 comments
52.
Brief Review of Computational Intelligence Algorithms (2019)(arxiv.org)
3 points by painful 8y ago|0 comments
53.
A Comprehensive Survey on Graph Neural Networks (2019)(arxiv.org)
19 points by painful 8y ago|0 comments
54.
by painful 8y ago
OK. IMHO the best thing that can be done is to write a guide for single Saudi women who're looking to renounce Islam and leave the country and establish citizenship elsewhere. The guide won't be perfect at first, and it may even g
55.
Show HN: ArXiv review papers in machine learning and AI from 1994 to 2018(freenode-machinelearning.github.io)
3 points by painful 8y ago|0 comments
56.
ArXiv review papers in machine learning and AI from 1995 to 2018(freenode-machinelearning.github.io)
2 points by painful 8y ago|0 comments