Spain

ECAI 2020

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

mitigating biases

machine learning

generative adversarial networks

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.

A Two-Stage Multi-Objective Deep Reinforcement Learning Framework

Online Probabilistic Interval-based Event Calculus

Saliency Detection with Deformable Convolution and Feature Attention

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings

Extended Markov Games to Learn Complex Specifications in Multi-Agent Reinforcement Learning

Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search

Conference Presentation Recording for ECAI2020 paper 'Adaptive Graph Reasoning Network for Fashion Landmark Detection'

Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks

Crowd Counting via Hierarchical Scale Recalibration Network

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders

https://d3smihljt9218e.cloudfront.net/transcript/980/subtitle/e3705972a55582c1b65eda504b246bdb.vtt

English (automatic)

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

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Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

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A Two-Stage Multi-Objective Deep Reinforcement Learning Framework

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Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical Machines

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