Spain

ECAI 2020

Variational Objectives for Markovian Dynamics with Backward Simulation;

sequential monte carlo.

nonlinear dynamics

variational inference

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020

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.

Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

Fleet-Wide Policy Iteration using Gaussian Processes

Learning Normative Behaviors through Abstraction

A Formal Model of Affordances for Flexible Robotic Task Execution

Meta-Embedding as Auxiliary Task Regularization

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Improving Document Classification with Multi-Sense Embeddings

Reasoning with a Bounded Number of Resources in ATL+

Rewrite or not Rewrite? ML-based Algorithm Selection for Datalog Query Answering on Knowledge Graphs

https://d3smihljt9218e.cloudfront.net/transcript/1328/subtitle/2bb25e1242830563ee58ce3fdcd69397.vtt

English (automatic)

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Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

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Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

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Variational Information Bottleneck Model for Accurate Indoor Position Recognition

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