Spain

ECAI 2020

Gradual guaranteed coordination in repeated win-lose coordination games

coordination protocols

repeated coordination games

multi-agent systems

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

From mixture of longitudinal and non-Gaussian advertising data to Click-Through-Rate prediction

Delving Deeper into the Decoder of Video Captioning

Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk

Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

Mean field theory for deep dropout networks

Adaptive Interaction Fusion Networks for Fake News Detection

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

Bidding in Spades

Adversarial Domain Adaptation Being Aware of Class Relationships

https://d3smihljt9218e.cloudfront.net/transcript/952/subtitle/5bbd381fde7eaa998f1bddfa108e05f1.vtt

English (automatic)

Gradual guaranteed coordination in repeated win-lose coordination games

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From mixture of longitudinal and non-Gaussian advertising data to Click-Through-Rate prediction

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Gradual guaranteed coordination in repeated win-lose coordination games

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Next from ECAI 2020

From mixture of longitudinal and non-Gaussian advertising data to Click-Through-Rate prediction

Similar lecture

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

Downloads