Spain

ECAI 2020

Feature importance estimation with self-attention networks

feature ranking

attention mechanism

neural networks

AIAI 2020 (16th International Conference on Artificial Intelligence Applications and Innovations) should be held in Halkidiki, Greece. Due to current Covid-19 situation the conference will be held virtually. Underline will host a repository of video talks and preserve them for the future. Videos will be released on Underline one day after the conference.

AIAI 2020

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Online Learning to Accelerate Neural Network Inference with Traveling Classifiers

Topological Bayesian Optimization with Persistence Diagrams

Convolutional Dictionary Pair Learning Network for Image Representation Learning

A Conditional Perspective on Iterated Contraction

SAI: A Sensible Artificial Intelligence that plays Go

Measurable Counterfactual Local Explanations for Any Classifier

Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks

A Framework for Determining the Fairness of Outlier Detection

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

Global Propagation of Transition Cost for Fixed Job Scheduling

https://d3smihljt9218e.cloudfront.net/transcript/1159/subtitle/f4f8cae62b1e91ca88314c73a8f6def5.vtt

English (automatic)

Feature importance estimation with self-attention networks

Downloads

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Online Learning to Accelerate Neural Network Inference with Traveling Classifiers

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Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events

Feature importance estimation with self-attention networks

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Next from ECAI 2020

Online Learning to Accelerate Neural Network Inference with Traveling Classifiers

Similar lecture

Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events

Downloads