The 1st Workshop on Artificial Intelligence for Anomalies and Novelties (AI4AN 2020) will be co-located with IJCAI-PRICAI 2020 and held online on 7 January 2021.

Covid Update

According to the most recent update of IJCAI-PRICAI 2020, the conference is postponed to January 2021 for an entirely online conference. We follow the main conference and hold the workshop virtually on 7 January 2021.

News

• February 2, 2021: The video recording of the workshop is now made publicly available at https://ijcai20.org/w20/

• January 7, 2021: Come join us via https://www.virtualchair.net/events/ijcai-pricai-2020 (Our ID is Workshop W20)

• January 4, 2021: The information of six exciting keynote talks is made available at Schedule

• December 28, 2020: The full workshop Schedule is now available

• December 5, 2020: We have a list of amazing Invited Speakers. Stay tuned!

• July 27, 2020: Accepted papers are released!

• April 27, 2020: Our CFP deadline is extended to 5 May 2020. We are committed to a non-archival workshop, and dual submission is allowed. Looking forward to your submissions!

• March 21, 2020: The submission instructions are now available at here.

• March 12, 2020: AI4AN 2020 workshop website is up!

Important Dates

Submission Due: May 5, 2020 (23:59 UTC-12)

Notification Due: June 5, 2020 (23:59 UTC-12)

Camera-ready Due: June 14, 2020 (23:59 UTC-12)

Overview

Anomalies are referred to as observations or events which are rare or significantly different from the majority of observations we have in hand, while novelties are observations from novel classes that are unseen during learning. Recognition, detection and/or adaption of anomalies and novelties are some of the most active research areas in multiple communities, such as data mining, machine learning and computer vision. Some of the most relevant well-established research areas include anomaly detection, out-of-distribution example detection, adversarial example recognition and detection, curiosity-driven reinforcement learning, open-set recognition and adaption. The successful early detection of anomalies and novelties is of great significance in broad domains, e.g., it may prevent the loss of billions of dollars by its application to fraud detection and anti-money laundering in fintech, saves lives by millions through disease detection, safeguards large-scale network computers from malicious attacks by its use in intrusion detection, defenses AI systems from adversarial attacks, and equips AI systems with capabilities to work safely in the open world, etc. Due to this significance, some of these areas have been extensively explored for decades, with the other areas emerged in recent years. However, there are still significant challenges and many open problems in these area due to some unique nature of anomalies and novelties, such as rareness, heterogeneity, unknown and uncertainty.

This workshop aims to gather researchers and practitioners from diverse communities and knowledge background to largely promote the development and applications of anomaly and novelty recognition, detection and adaption techniques.

Past Events

A repository of similar events can be found at here.

Sponsors