Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new research topics and directions. Additionally, it is interesting to see what key insights into IR problems the new technologies are able to give us. The aim of this full-day tutorial is to give a clear overview of current tried-and-trusted neural methods in IR and how they benefit IR research. It covers key architectures, as well as the most promising future directions
This research paper provides an overview of the development and current state of neural network tech...
This handbook is inspired by two fundamental questions: ”Can intelligent learning machines be built?...
Recent developments of machine learning models, and in particular deep neural networks, have yielded...
A recent "third wave'' of neural network (NN) approaches now delivers state-of-the-art performance i...
In recent years, deep neural networks have yielded significant performance improvements on speech re...
Neural networks with deep architectures have demonstrated significant performance improvements in co...
Information retrieval (IR) systems are used for finding, within a large text database, those documen...
After surpassing human performance in the fields of Computer Vision, Speech Recognition and NLP, dee...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown ...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
Traditional retrieval models such as BM25 or language models have been engineered based on search he...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown...
Information Retriever (IR) aims to find the relevant documents (e.g. snippets, passages, and article...
Neural ranking models use shallow or deep neural networks to rank search results in response to a qu...
This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their...
This research paper provides an overview of the development and current state of neural network tech...
This handbook is inspired by two fundamental questions: ”Can intelligent learning machines be built?...
Recent developments of machine learning models, and in particular deep neural networks, have yielded...
A recent "third wave'' of neural network (NN) approaches now delivers state-of-the-art performance i...
In recent years, deep neural networks have yielded significant performance improvements on speech re...
Neural networks with deep architectures have demonstrated significant performance improvements in co...
Information retrieval (IR) systems are used for finding, within a large text database, those documen...
After surpassing human performance in the fields of Computer Vision, Speech Recognition and NLP, dee...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown ...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
Traditional retrieval models such as BM25 or language models have been engineered based on search he...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown...
Information Retriever (IR) aims to find the relevant documents (e.g. snippets, passages, and article...
Neural ranking models use shallow or deep neural networks to rank search results in response to a qu...
This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their...
This research paper provides an overview of the development and current state of neural network tech...
This handbook is inspired by two fundamental questions: ”Can intelligent learning machines be built?...
Recent developments of machine learning models, and in particular deep neural networks, have yielded...