Spain

ECAI 2020

On Partial Multi-Task Learning

stochastic algorithms

graphical modeling

partial examples

multi-task learning

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.

Toward Metrics for Differentiating Out-of-Distribution Sets

Planning for Compilation of a Quantum Algorithm for Graph Coloring

Document and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification

Mining Insights from Large-scale Corpora Using Fine-tuned Language Models

Branch Location Problems with Maximum Satisfiability

Simplifying Graph Attention Networks with Source-Target Separation

Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

From Eigentrust to a Trust-measuring Algorithm in the Max-Plus Algebra

Robust Submodular Minimization with Applications to Cooperative Modeling

Minimizing and recovering from the effect of concept drift via feature selection

https://d3smihljt9218e.cloudfront.net/transcript/1149/subtitle/7197bf18336af409f3b29b890085c338.vtt

English (automatic)

On Partial Multi-Task Learning

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Toward Metrics for Differentiating Out-of-Distribution Sets

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REMIT: Reinforced Multi-Interest Transfer for Cross-domain Recommendation

On Partial Multi-Task Learning

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Next from ECAI 2020

Toward Metrics for Differentiating Out-of-Distribution Sets

Similar lecture

REMIT: Reinforced Multi-Interest Transfer for Cross-domain Recommendation

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