AI News, General Sequence Learning using Recurrent Neural Networks

General Sequence Learning using Recurrent Neural Networks

indico's Head of Research, Alec Radford, led a workshop on general sequence learning using recurrent neural networks at Next.ML in San Francisco.

With the basics covered, we will investigate using RNNs as general text classification and regression models, examining where they succeed and where they fail compared to more traditional text analysis models.

General Sequence Learning using Recurrent Neural Networks

indico's Head of Research, Alec Radford, led a workshop on general sequence learning using recurrent neural networks at Next.ML in San Francisco.

Deep Learning Approach for Extreme Multi-label Text Classification

Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels.

Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUs

Lecture 9 recaps the most important concepts and equations covered so far followed by machine translation and fancy RNN models tackling MT. Key phrases: ...

Shalini Ghosh: Contextual LSTMs: A step towards Hierarchical Language Modeling

Shalini Ghosh Title: Contextual LSTMs: A step towards Hierarchical Language Modeling Abstract: Documents exhibit sequential structure at multiple levels of ...

Martin Jaggi - Deep Learning for Text - From Word Embeddings to Convolutional Neural Networks

Presentation at "SwissText 2016" 08.06.2016 in Winterthur. "Winner of Best Presentation Award SwissText2016" Abstract: We provide a ..

NW-NLP 2018: Ben Taskar Invited Talk; Learning and Reasoning about the World using Language

The fifth Pacific Northwest Regional Natural Language Processing Workshop will be held on Friday, April 27, 2018, in Redmond, WA. We accepted abstracts ...

Text Summarization with Deep Learning (Statistical Programming DC)

Learn the basics of text summarization with deep learning. We will cover many topics including abstractive and extractive summarization and sequence to ...

Lecture 1 | Natural Language Processing with Deep Learning

Lecture 1 introduces the concept of Natural Language Processing (NLP) and the problems NLP faces today. The concept of representing words as numeric ...

Predictive Learning, NIPS 2016 | Yann LeCun, Facebook Research

Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural language processing. But almost ...

Lecture 10: Neural Machine Translation and Models with Attention

Lecture 10 introduces translation, machine translation, and neural machine translation. Google's new NMT is highlighted followed by sequence models with ...