Spain

ECAI 2020

Adaptive Local Neighbors for Transfer Discriminative Feature Learning

adaptive local neighbors

transfer discriminative feature learning

domain adaptation

transfer 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.

Analysing Irresolute Multiwinner Voting Rules via SAT solving

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners

Learning Deterministic Automata on Infinite Words

Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning

Learning classifier chains using matrix regularization: application to multimorbidity prediction

Abstract Argumentation with Markov Networks

IAD: A Benchmark Dataset and a New Method for Illegal Advertising Classification

Preferences over rankings and how to control them using rewards

Monte Carlo Information-Oriented Planning

Enhanced foraging in robot swarms using collective Lévy walks

https://d3smihljt9218e.cloudfront.net/transcript/990/subtitle/e0757e99419adbad62cdad4f6fe17612.vtt

English (automatic)

Adaptive Local Neighbors for Transfer Discriminative Feature Learning

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Analysing Irresolute Multiwinner Voting Rules via SAT solving

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Adaptive Local Neighbors for Transfer Discriminative Feature Learning

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Next from ECAI 2020

Analysing Irresolute Multiwinner Voting Rules via SAT solving

Similar lecture

Cooperative and Adversarial Learning: Co-Enhancing Discriminability and Transferability in Domain Adaptation

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