Top Tweets for #ContinualAI
'Avalanche: A PyTorch Library for Deep Continual Learning', by Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco.
https://t.co/W2PFc86GEn
#continualai #continual #pytorch
The @AvalancheLib is now being published on JMLR!๐
Thanks to all the people who contributed to the library, the Avalanche maintainers and especially @acarta7 for their tremendous commitment!
#continuallearning #continualai
Join us(@MiccaiStudents) for a half-day of interactive learning and get hands-on experience in building and deploying medical AI products that learn continuously! See you at #MICCAI2023 #Vancouver #ContinualAI #MedicalImaging #AI
The 1st @MICCAI_Society Tutorial on Dynamic and Continual AI For Medical Imaging is DAICOW, where you will be taken through the process of building and deploying medical AI products that learn continuously over their lifetime in an interactive half-day tutorial. @ContinualMedAI
๐จAsk anything to a panel of continual learning experts. What topics or questions would you like to see discussed by researchers from industry and academia?
#CLVision workshop @CVPR
#ContinualLearning #LifelongLearning #ContinualAI
[1/4] I'm really excited to share with you a new pre-print on our recent work ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐๐ ๐๐ญ๐ข๐ฏ๐ ๐๐๐ฉ๐ฅ๐๐ฒ ๐๐จ๐ซ ๐๐จ๐ง๐ญ๐ข๐ง๐ฎ๐๐ฅ ๐๐๐๐ซ๐ง๐ข๐ง๐ !
๐pre-print: https://t.co/fvb5LELzn6
#continuallearning #continualai #deeplearning
![v_lomonaco's tweet photo. [1/4] I'm really excited to share with you a new pre-print on our recent work ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐๐ ๐๐ญ๐ข๐ฏ๐ ๐๐๐ฉ๐ฅ๐๐ฒ ๐๐จ๐ซ ๐๐จ๐ง๐ญ๐ข๐ง๐ฎ๐๐ฅ ๐๐๐๐ซ๐ง๐ข๐ง๐ !
๐pre-print: https://t.co/fvb5LELzn6
#continuallearning #continualai #deeplearning https://t.co/Kok57RKV9P](https://pbs.twimg.com/media/FQ83IiPXoAAxtWP.jpg)
With a focus on AR/VR, all data is from your point of view. We provide both classification and object detection tracks, and anyone can participate!
Submission are open starting March 27.
#ContinualLearning #CVPR #CLVision #MetaAI #ComputerVision #ContinualAI
The @AvalancheLib official website is now versioned as the official pip package and the api docs!๐
๐ซ Star Avalanche on GitHub: https://t.co/bzqEU3nFTA
#continuallearning #continualai #deeplearning
๐ฅ Tomorrow, 18.30 CET for the @ContinualAI weekly seminars ๐ฅ
https://t.co/PN3IjJgmE5
๐ง mailing-list: https://t.co/LpXooFbRkF
#continualai #continuallearning #deeplearning
๐ฅ Last call for papers for the ๐๐ผ๐ป๐๐ถ๐ป๐๐ฎ๐น ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ถ๐ป ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป workshop at CVPR! ๐๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ: ๐ฎ๐ฌ๐๐ต ๐ผ๐ณ ๐ ๐ฎ๐ฟ๐ฐ๐ต! ๐ฅ
๐ Call for papers: https://t.co/9bjRG2x30L
#continuallearning #deeplearning #continualai
๐ง mailing-list: https://t.co/cUpqQnHfxw
๐ paper: https://t.co/YyQpg5WMHB
#continuallearning #continualai #deeplearning
Join us this Friday for the @ContinualAI monthly meetup! ๐ฅ๐
๐ซ Free Tickets: https://t.co/TaNd5uEAY8
๐งMailing-list: https://t.co/LpXooFbRkF
#continuallearning #continualai #deeplearning
Common #lifelonglearning setups assume one-class-per-sample. We propose "IIRC: Incremental Implicitly-Refined Classification" where we try to step away from this assumption. https://t.co/SRxN4F2EZA
https://t.co/21v37B71S3 #ContinualAI
Happy to introduce a new task and benchmark for lifelong learning: "IIRC: Incremental Implicitly-Refined Classification". https://t.co/sh46WV84s5 Website: https://t.co/R5KJASUvpV. Work led by my student Mohamed in collaboration with Mojtaba, @shagunsodhani, and myself. 1/n
We are glad to announce the workshop on Novel Ideas in Learning-to-Learn through Interaction (NILLI) at EMNLP'21. @koustuvsinha @BullardKalesha @adinamwilliams @apsarathchandar @Cote_Marc Joelle Pineau.#NLProc #ContinualAI #emnlp2021 #NILLI21 ๐๐
webpage:https://t.co/UXhz6mJWOj
@codexeditor @Conaw Even at this level the are challenges to resolve in terms of vocabulary management in the context of incremental learning https://t.co/fpIeg7s5wn
sub-word tokenization
#ContinualAI
#FeatureStore for the #wordembedding-s
etc
@JohnSnowLabs Can it do sophisticated tokenization and incremental vocabulary management?
"periodically reconstruct the vocabulary, which can be inevitable in domains like social media where the language distribution can change rapidly" https://t.co/0SLpQEGBpJ
See https://t.co/7LnIxZOFlb
Really interesting discussion and perspectives on continual learning and federated learning. Thanks for having me #ContinualAI!
Here's the recording of the last great @ContinualAI meetup titled "Continual Learning: in the Cloud, at the Edge or Both"!
It turns out Continual Learning is useful in the cloud at the edge and everything in between! ๐
https://t.co/ZjxMNXxsFW
Excited to present our #CVPR2020 paper in the June meetup of #ContinualAI! A novel perspective exploits continual learning to enable scalable serverside adaptation to thousands of users.
Paper: https://t.co/3cAhtBuwd9
Code: https://t.co/0OVjRHhxAN
With @s_parisot
The June @ContinualAI meetup is finally here! ๐
This Friday at 5 pm CEST we will talk about "Continual Learning: in the Cloud, at the Edge... or Both?" with 4 amazing speakers!
๐ Eventbrite link: https://t.co/7IIlbZTHcw
I'm excited to finally share with you our latest work "Fine-Grained Continual Learning" where we try to learn continuously over nearly 400 highly non-i.i.d. training batches! ๐๐
๐ paper link: https://t.co/Im8WfCnWCI
#continualai #streaminglearning #lifeonglearning
[1/2] Tomorrow at 10.30 at the Center for Robotics and Intelligent Systems @ IIT, Genova, I'll be giving a talk about our recent work trying to bridge the gap between Continual Learning and Robotics! ๐
#robotics #artificialintelligence #continualAI
![v_lomonaco's tweet photo. [1/2] Tomorrow at 10.30 at the Center for Robotics and Intelligent Systems @ IIT, Genova, I'll be giving a talk about our recent work trying to bridge the gap between Continual Learning and Robotics! ๐
#robotics #artificialintelligence #continualAI https://t.co/kdqvtnGBLa](https://pbs.twimg.com/media/EEF9GkAXoAITsaU.jpg)
@NataliaDiazRodr @TLesort @drFilliat [2/2] In this work, we try to summarize recent progress in deep continual learning and propose a general framework for improving its transferability to real-world robotics applications! ๐ช
#ContinualLearning #continualAI #Robotics
Tune in tomorrow for the facebook broadcast of ICML workshops if you want to hear about our Continual Learning framework for robotics https://t.co/UOWv1BjqEi https://t.co/1KigUZ5RFE . #continualai
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