Spain

ECAI 2020

General Supervision via Probabilistic Transformations

non-standard supervision

robust risk minimization

supervised classification

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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.

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

Heuristics for Link Prediction in Multiplex Networks

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks

EPNE: Evolutionary Pattern Preserving Network Embedding

Lifting Majority to Unanimity in Opinion Diffusion

Dynamic thresholding for learning sparse neural networks

A Region Selection Model to Identify Unknown Unknowns in Image Datasets

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

Unsupervised Learning of Interpretable Dialog Models

https://d3smihljt9218e.cloudfront.net/transcript/1003/subtitle/be96f7c040747a11e6b7d5b14e4711fa.vtt

English (automatic)

General Supervision via Probabilistic Transformations

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Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

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LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling

General Supervision via Probabilistic Transformations

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Next from ECAI 2020

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

Similar lecture

LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling

Downloads