Spain

ECAI 2020

Reuse, Reduce and Recycle: Optimizing Reiter’s HS-Tree for Sequential Diagnosis

optimality

completeness

soundness

hitting set computation

measurement selection

fault isolation

fault localization

stateful search algorithm

sequential diagnosis

diagnosis computation

reiter's hs-tree

hitting set tree

model-based diagnosis

probing

We are pleased to announce the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), which will be held in Vancouver, British Columbia at the Vancouver Convention Centre – West Building from 20-27 February, 2024.

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-24 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and a range of other activities to be announced.

We expect for AAAI-24 to be an in-person conference – one author of all accepted papers will be expected to present work in person unless there are exceptional circumstances that prevent this.<br><br><br><br>

In order to access the AAAI-24 event page you need to register [here](https://aaai.org/aaai-conference/registration/)

AAAI 2024

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.

On Partial Multi-Task Learning

Toward Metrics for Differentiating Out-of-Distribution Sets

Planning for Compilation of a Quantum Algorithm for Graph Coloring

Document and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification

Mining Insights from Large-scale Corpora Using Fine-tuned Language Models

Branch Location Problems with Maximum Satisfiability

Simplifying Graph Attention Networks with Source-Target Separation

Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

From Eigentrust to a Trust-measuring Algorithm in the Max-Plus Algebra

Robust Submodular Minimization with Applications to Cooperative Modeling

https://d3smihljt9218e.cloudfront.net/transcript/1145/subtitle/71f7bff37f898afd7a70fdb2123a82f5.vtt

English (automatic)

Downloads

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On Partial Multi-Task Learning

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Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving

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Next from ECAI 2020

On Partial Multi-Task Learning

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Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving

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