Spain

ECAI 2020

A Region Selection Model to Identify Unknown Unknowns in Image Datasets

unknown unknowns

crowdsourcing

deep learning

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.

technical paper

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)

A Region Selection Model to Identify Unknown Unknowns in Image Datasets

Downloads

Next from ECAI 2020

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

Similar lecture

PushNet: Efficient and Adaptive Neural Message Passing

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PRESENTATIONS

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COMPANY

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A Region Selection Model to Identify Unknown Unknowns in Image Datasets

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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

PushNet: Efficient and Adaptive Neural Message Passing

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads