Spain

ECAI 2020

Fair in the eyes of others

envy-freeness

fair division

multiagent resource allocation

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.

Foreground detection by probabilistic mixture models using semantic information from deep networks

Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining

The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models

Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

Learning First-Order Symbolic Representations from the Structure of the State Space

Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives

Basic Utility Theory for Belief Functions

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation

Mid-weight Image Super-Resolution with Bypass Connection Attention Network

Learning to Reuse Translations: Guiding Neural Machine Translation with Examples

https://d3smihljt9218e.cloudfront.net/transcript/1047/subtitle/b090e0e9639cca8bf91b809e4519276e.vtt

English (automatic)

Fair in the eyes of others

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Foreground detection by probabilistic mixture models using semantic information from deep networks

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Fairness Concepts for Indivisible Items with Externalities

Fair in the eyes of others

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Next from ECAI 2020

Foreground detection by probabilistic mixture models using semantic information from deep networks

Similar lecture

Fairness Concepts for Indivisible Items with Externalities

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