bookmarks (hide)3254
- The most important NLP highlights of 2018 (PDF Report) - omarsar/nlp_highlights
- Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
- With everything that’s happening about the Coronavirus, it might be very hard to make a decision of what to do today. Should you wait for more information? Do something today? What? Here’s what I’m…
- Das Coronavirus breitet sich auf der Welt aus. Täglich steigt die Zahl der Infektionen – weltweit, in Europa und in den Bundesländern in Deutschland. Schauen Sie sich hier die Echtzeit-Karte an.
- Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.
- Nimfa is a Python library for nonnegative matrix factorization.
- Python3 package for searching, navigating, and modifying LaTeX documents using BeautifulSoup-esque idioms - alvinwan/TexSoup
- spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
- CAIDAS-Center Würzburg
- Anyplace
- FitnessSyncer joins your health and fitness clouds into one Dashboard and Stream. Supporting over 40 health and fitness providers, including Fitbit, Garmin Connect, Samsung Health, Microsoft HealthVault™, RunKeeper, and more!
publications (hide)2085
- Artificial Neural Networks and Machine Learning -- ICANN 2011, page 44--51. Berlin, Heidelberg, Springer Berlin Heidelberg, (2011)
- (2016)
- (2014)cite arxiv:1411.4166Comment: Proceedings of NAACL 2015.
- (2020)cite arxiv:2003.03182Comment: This paper is going to be published in the proceedings of the 25th International Symposium on Methodologies for Intelligent Systems (ISMIS).
- Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020), 9, page 142-149. SCITEPRESS – Science and Technology Publications, Lda., (2020)
- Statist. Sci. 1 (3): 297--310 (August 1986)
- AISTATS, volume 15 of JMLR Proceedings, page 315-323. JMLR.org, (2011)
- Neural Computation 22 (12): 3207-3220 (2010)
- NIPS, page 1106-1114. (2012)
- ICML, volume 382 of ACM International Conference Proceeding Series, page 873-880. ACM, (2009)
- Foundations and Trends in Machine Learning 2 (1): 1-127 (2009)
- Expert Syst. Appl. 91 (C): 159–169 (January 2018)
- LESSON, (2019)
- ICML, volume 148 of ACM International Conference Proceeding Series, page 113-120. ACM, (2006)
- Scientometrics 121 (3): 1385-1406 (2019)
- Scientometrics 122 (1): 681-699 (2020)
- Scientometrics 122 (1): 249-265 (2020)
- Scientometrics 122 (1): 215-247 (2020)
- Annals of Applied Statistics (2007)
- CoRR (2019)
