# Research

## Conference Workshops

* [International Workshop on Continual Semi-Supervised Learning (CSSL) at IJCAI 2021](https://sites.google.com/view/sscl-workshop-ijcai-2021/)
* [CLVISION workshop (2nd edition) at CVPR 2021](https://sites.google.com/view/clvision2021/)
* [WMT20 Lifelong Learning for Machine Translation Shared Task](http://www.statmt.org/wmt20/lifelong-learning-task.html)
* [Ro-man 2020 Workshop on Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI)](https://sites.google.com/view/ll4lhri2020/objectives-and-challenges)
* [ICML 2020 Workshop on Lifelong Learning](https://lifelongml.github.io/)
* [CVPR 2020 Workshop on Continual Learning in Computer Vision](https://sites.google.com/view/clvision2020)
* [Cosyne 2019 Continual Learning](http://www.cosyne.org/c/index.php?title=Workshops2019_learning)
* [ICML 2019 Workshop on Multi-Task and Lifelong Reinforcement Learning](https://sites.google.com/corp/view/mtlrl/home)
* [ICML 2019 Adaptive and Multitask Learning: Algorithms & Systems](https://www.amtl-workshop.org/)
* [ICML 2018 Lifelong RL workshop](https://sites.google.com/corp/view/llarla2018/home)
* [NeurIPS 2018 Workshop on Meta-Learning](http://metalearning.ml/2018/)
* [NeurIPS 2018 Workshop on Continual Learning](https://sites.google.com/view/continual2018/home)

## Research Programs

* [DARPA Lifelong Learning Machines (L2M) program](http://www.darpa.mil/news-events/2017-03-16)
* [Bayes Duality project](https://bayesduality.github.io/)
* [European H2020 DREAM project](http://www.robotsthatdream.eu/)&#x20;
* [CAREER: Brain-inspired Methods for Continual Learning of Large-scale Vision and Language Tasks](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047556\&HistoricalAwards=false)
* [Shared-Experience Lifelong Learning (ShELL)](https://sam.gov/opp/1afbf600f2e04b26941fad352c08d1f1/view)
* [ERC Advanced Grant "KeepOnLearning - Beyond solving static datasets: Deep learning from streaming data"](https://www.kuleuven.be/english/research/EU/p/horizon2020/es/erc/keeponlearning)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://wiki.continualai.org/the-continualai-wiki/research.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
