workshop


Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More! - AYLIEN

@machinelearnbot

Four members of our research team spent the past week at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) in Copenhagen, Denmark. The current generation of deep learning models is excellent at learning from data. The Subword and Character-level Models in NLP workshop discussed approaches in more detail, with invited talks on subword language models and character-level NMT. Learning better sentence representations is closely related to learning more general word representations.


AI's impact on built environment sector

#artificialintelligence

The potential impact of AI on the built environment sector was also discussed at a recent workshop convened by ICE and the National Infrastructure Commission. Piloting and testing is necessary if machine learning and AI technologies, together with robotics and virtual reality, are to transform the built environment. The pace of technological change and the data requirements associated with AI mean that creating a governance framework is very challenging. Civil engineers of the future will require different training and skillsets to get to grips with AI, including greater crossover with other disciplines like social sciences.


Black in AI

@machinelearnbot

We invite black AI researchers from around the world to share their work and learn about others' research. We invite all black researchers, including undergraduates, graduate students, faculty, and researchers in industry to participate in this workshop. Need-based travel grants will be awarded to workshop participants. The travel grant can be used for covering costs associated with the workshop such as NIPS registration, accommodation and travel.


Amazon has developed an AI fashion designer

#artificialintelligence

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Amazon has developed an AI fashion designer

#artificialintelligence

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Colombo Artificial Intelligence Meetup

#artificialintelligence

SLAAI is a national organization established in 2005 with the aim of developing the field of AI in Sri Lanka. Its members have done yeoman service for the popularization of AI They have organized workshops and awareness creation events not only in Colombo but in many other provinces as well. This Meetup is only one of the many events that SLAAI organizes in pursuance of its mandate of developing and popularizing AI as a field in Sri Lanka. SLAAI has been consistent in its pursue of popularization of AI In Sri Lanka through national events and will continue to do the same in future.]


Wanna spend a day getting deeply hands-on with machine learning?

#artificialintelligence

Laurent is a Senior Research Associate at the University of Cambridge, where his work focuses on the development and application of machine learning methods to understand high throughput biological data. Alternatively, Barbara Fusinska will be doing an all-day session on Practical Deep Learning with TensorFlow. Using an interactive learning platform, attendees will have a practical opportunity to use TensorFlow when building deep networks, training them and evaluating the results. After two days of conference sessions, either workshop is an excellent opportunity to dive deep on the fundamentals of machine learning and deep networks.


spend_a_day_getting_deeply_hands_on_with_machine_learning

#artificialintelligence

Laurent is a Senior Research Associate at the University of Cambridge, where his work focuses on the development and application of machine learning methods to understand high throughput biological data. Alternatively, Barbara Fusinska will be doing an all-day session on Practical Deep Learning with TensorFlow. Using an interactive learning platform, attendees will have a practical opportunity to use TensorFlow when building deep networks, training them and evaluating the results. After two days of conference sessions, either workshop is an excellent opportunity to dive deep on the fundamentals of machine learning and deep networks.


17 Top AI and Machine Learning Conferences for Developers in 2017 - Watson

#artificialintelligence

Why you should attend: AI engineers, practitioners, researchers and scientists will discuss the latest developments in the field, while tutorials and workshops will give attendees a chance to hone their skills. "Deep-dive workshops" will give attendees the opportunity to explore specific topics, from natural language processing to pattern recognition. Papers presented will discuss research projects and real-world experiences in topics including automatic control, data mining, semantic technologies, theories of learning, cognitive informatics and more. The Artificial Intelligence Conference is an annual event where leading AI researchers and top industry practitioners meet and collaborate.


Introducing the Yahoo News Ranked Multi-label Corpus, a Novel Dataset to Improve Multilabel Learning

@machinelearnbot

In the process of writing our recent ACL 2017 publication "DocTag2Vec: An embedding based Multilabel Learning approach for Document Tagging," presented in the Rep4NLP workshop, we compiled a novel dataset with raw news stories that allows for researchers to be able to construct their own features that are best-suited for their MLL algorithms. As part of our Webscope data-sharing program, we are making our dataset, called Yahoo News Ranked Multi-label Corpus (YNMLC), available to academics to further advance MLL research. While traditional MLL approaches rely on given features, DocTag2Vec operates on raw text and automatically learns the best features of that text by embedding both documents and the tags in the same vector space. "DocTag2Vec: An embedding based Multilabel Learning approach for Document Tagging", The 2nd Workshop on Representation Learning for NLP, 2017.