📰News & Events

Stay connected with the ContinualAI community!

Mailing list

ContinualAI maintains the “Continual Learning and AI News” mailing list. This is a mailing-list open to anyone interested in continual learning not just the ContinualAI members. Subscribe and follow the instructions to send emails to all the subscribers!

News & Events

• [ May 20, 2020 ] We just released the alpha version of Avalanche: an End-to-End Library for Continual Learning!

• [ May 20, 2020 ] We are excited to sponsor the Lifelong Learning for Long-term Human-Robot Interaction (LL4LHR) Workshop at RO-MAN’20 in Naples, Italy. Submissions are open!

• [ Feb 25, 2020 ] The Continual Learning Challenge we are sponsoring within the 1st workshop on Continual Learning in Computer Vision (CLVISION) at CVPR 2020 is now open for submissions!

• [ Nov 21, 2019 ] Vincenzo Lomonaco will be giving a talk on Toward Continual Learning on the Edge at Apple Inc., Cupertino, CA.

• [ Nov 15, 2019 ] We are excited to be sponsoring the 1st workshop on Continual Learning in Computer Vision (CLVISION) which will be hosted at CVPR 2020 in Seattle, WA.

• [ May 31, 2019 ] Natalia, one of our board members, will give a invited talk at the Workshop on Multi-Task and Lifelong Reinforcement Learning at ICML 2019!

• [ April 16, 2019 ] Vincenzo Lomonaco and German I. Parisi, two of our board members, will give a tutorial on Continual Learning with Neural Networks at the INNS Big Data and Deep Learning Conference in Sestri Levante, Italy.

• [ Aug 11, 2018 ] It’s official! There will be a 2018 Continual Learning Workshop at NIPS!

Newsletter

The ContinualAI Newsletter will keep you updated on events & activities of the community, but also about important news in the field of Continual Learning. Sign up here!

The entire list of the previous monthly newsletters can be found at this link.

Meetups

The ContinualAI Meetups are online, fun and informal meetups about a particular continual learning topic. At the moment we try to alternate two possible types of meetups: “Research” and “Collaborative Projects”.

Research Meetups

Research Meetups are 90 minute discussions about a particular Continual Learning topic. Each month a new topic is chosen and 4 experienced speakers are invited to trigger the discussion with a 15 minute talk each plus a Q&A session:

• [May 2021] “Continual Learning at the Edge: On-Device training without forgetting”

• [April 2021] “Continual Learning Applied to Problems Outside Supervised Classification”

• [January 2021] “Rehearsal-Free Continual Learning”

• [November 2020] “Benchmarks and Evaluation for Continual Learning”

• [October 2020] “Generalization and Robustness in Continual Learning”

• [June 2020] “Continual Learning: in the Cloud, at the Edge or Both?”

• [May 2020] “Continual Learning with Sequential Streaming Data”

• [April 2020] “Real-World Applications of Continual Learning”

• [March 2020] “Neuroscience-Inspired Continual Learning”

• [February 2020] “Generative Models for Continual Learning”

Collaborative Projects Meetups

Collaborative Projects Meetups are 60 minutes discussions about a particular ContinualAI project. The goal of this meetup is to present the advancements on each collaborative, open-source project and decide colletively its future development:

• [March 2021] “Avalanche: an End-to-End Library for Continual Learning”

• [February 2020] “Colab 1.0”

• [September 2020] “Continual Wiki v1.0”

Continual Learning Seminars

Continual Learning Seminars are roughly 60 minute discussion about a particular Continual Learning paper. In this sessions, the paper authors are invited to explain their work, so please let us know if you are interested in presenting. Join our reading group on slack, and check out our YouTube page for past events! It’s a great occasion to talk with other researchers in this amazing field!

• [June 11th 2021] “ACAE-REMIND for Online Continual Learning with Compressed Feature Replay”

• [June 4th 2021] “Continual Learning for Recurrent Neural Networks: an Empirical Evaluation”

• [May 21st 2021] “Class-Incremental Learning with Generative Classifiers”

• [May 14th 2021] “Psycholinguistics meets CL: Measuring Forgetting in Visual Question Answering”

• [May 7th 2021] “Rehearsal revealed: The limits and merits of revisiting samples in continual learning”

• [April 23th 2021] “Understanding Continual Learning Settings with Data Distribution Drift Analysis”

• [April 16th 2021] “Towards Continual, Online, Unsupervised Depth”

• [April 9th 2021] “Catastrophic Forgetting in Deep Graph Networks”

• [April 2nd 2021] “Continuum: Simple Management of Complex Continual Learning Scenarios”

• [March 19th 2021] “A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix”

• [March 12th 2021] “Adaptation Strategies for Automated Machine Learning on Evolving Data”

• [March 5th 2021] “IIRC: Incremental Implicitly-Refined Classification”

• — see more sessions —

Virtual Coffe Program

As we surpassed the ContinualAI 1000+ members, we thought it would be nice to know each other a bit better! So we are excited to launch the ContinualAI Virtual-Coffee Program!

How does it work? You enter the #virtual-coffee channel on slack, every two weeks a bot will randomly pair you with another continual learner with whom you can make a 1-1 online meeting to grab a virtual coffee together. We hope this will help you create valuable connections to strengthen this amazing field and work better together!

Medium Publication

The ContinualAI Medium Publication contains blog posts on the topic of Continual Learning. The publication is open to both ContinualAI members and outsiders. If you want to share your personal thoughts on Continual Learning, please consider this venue and send us an email at [e-mail]!

Recent stories:

• Top-down Domain Inference for Lifelong Learning

• Continuum: A Data Loader for Continual Learning

• Task Label and Continual learning, what is going on?

• Continual Learning for Production Systems

• ContinualAI: a Non-Profit Research Organization on Continual Learning for AI

• — see more stories —