Spain

ECAI 2020

Adversarial Domain Adaptation Being Aware of Class Relationships

multi-branch domain discriminator

inter-class dependency

adversarial domain adaptation

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.

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

A Graph-based Measurement for Text Imbalance Classiﬁcation

MobiSenseUs - Inferring Objective and Subjective Well-Being from Mobile Data

Matching Questions and Answers in Dialogues from Online Forums

Sequence Prediction Model for Aspect-level Sentiment Classification

Task-Aware Performance Prediction for Efficient Architecture Search

Graphical Granger Causality by Information-Theoretic Criteria

Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data

Powering Hidden Markov Model by Neural Network based Generative Models

Robust Multi-Instance Learning with Stable Instances

https://d3smihljt9218e.cloudfront.net/transcript/959/subtitle/60577d857c91795272af165ecca124bf.vtt

English (automatic)

Adversarial Domain Adaptation Being Aware of Class Relationships

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A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

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Sharing Pattern Submodels for Prediction with Missing Values

Adversarial Domain Adaptation Being Aware of Class Relationships

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Next from ECAI 2020

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

Similar lecture

Sharing Pattern Submodels for Prediction with Missing Values

Downloads