Spain

ECAI 2020

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

attributed network embedding

adversarial learning

attention

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.

Global Propagation of Transition Cost for Fixed Job Scheduling

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams

Automatic Extraction of Leaf Venation Complex Networks

Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks

Election Score Can Be Harder Than Winner

Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation

Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning

Uniform State Abstraction For Reinforcement Learning

A Lagrangian Approach to Information Propagation in Graph Neural Networks

A Compact Spectral Descriptor for Shape Deformations

https://d3smihljt9218e.cloudfront.net/transcript/1169/subtitle/8e289ccfa4a07fac00676c6827130d8b.vtt

English (automatic)

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

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Global Propagation of Transition Cost for Fixed Job Scheduling

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Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

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Next from ECAI 2020

Global Propagation of Transition Cost for Fixed Job Scheduling

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Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection

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