Spain

ECAI 2020

A Region Selection Model to Identify Unknown Unknowns in Image Datasets

unknown unknowns

crowdsourcing

deep learning

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. 

AAAI 2021

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.

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

Unsupervised Learning of Interpretable Dialog Models

NASS: Optimizing Secure Inference via Neural Architecture Search

A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction

Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation

QuantumWeighted Model Counting

A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis

Leveraging Human Prior Knowledge to Learn Sense Representations

Secure Social Recommendation based on Secret Sharing

Understanding and Training Deep Diagonal Circulant Neural Networks

https://d3smihljt9218e.cloudfront.net/transcript/1010/subtitle/ff53eee1ef74185f1352fd9eec234cba.vtt

English (automatic)

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End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

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Exploratory Machine Learning with Unknown Unknowns

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Next from ECAI 2020

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

Similar lecture

Exploratory Machine Learning with Unknown Unknowns

Downloads