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Today's talk in the #RobotLearning NeurIPS Conference countdown is by GRASP Laboratory's Eric Eaton (seas.upenn.edu/~eeaton/) & Jorge Mendez (Jorge Mendez-Mendez) on "Factorized and Composable Representations for Lifelong Learning" Check it out! youtube.com/watch?v=JIGF0J…

Check out this exciting initiative!

Check out some of the latest work from our group by Jorge Mendez-Mendez, which just got accepted into ICLR 2022. Keep an eye out for the camera-ready version soon!

Check out our latest work on an efficient 3D object detector for embedded systems such as our service robots! x.com/KyleVedder/sta…

Huge congratulations to Jorge Mendez-Mendez , who successfully defended his dissertation "Lifelong Machine Learning of Functionally Compositional Structures" today at Penn. Absolutely groundbreaking work. Go Jorge!!! #continuallearning #MachineLearning Penn Computer and Information Science

I will be presenting this work virtually in just a couple of hours (1:30pm ET) at #ICLR2022. Stop by to chat if you’re interested in #ContinualLearning #Compositionality #Modularity #ReinforcementLearning!

If you are at IEEE ICRA today, come to the GRASP Laboratory technical tour 9:30-12:30 and check out our *real* robot continually learning to predict a changing room layout via occupancy map prediction! Part of an ongoing collaboration with Kostas Daniilidis's group. #ICRA #ICRA2022

I gave an invited talk about Sparse PointPillars at the 3D-Deep Learning for Automated Driving workshop of IV2022. If you're interested in 3D object detection for real world systems, give it a watch! youtube.com/watch?v=JgcR6c…

Our paper on Sparse PointPillars was accepted to #IROS2022! Check out Kyle Vedder’s thread for details on the method. arXiv: arxiv.org/abs/2106.06882 Website: vedder.io/sparse_point_p…

Check out our newly released benchmark on #Compositional #ReinforcementLearning. Also, congratulations to Marcel Hussing on his first paper with us!

We are happy to announce the release of #CompoSuite, our benchmark of #robotic manipulation tasks for studying functional #compositionality for #MultiTaskLearning and #ContinualLearning in #ReinforcementLearning! CoLLAs 2025 🧵👇 arxiv.org/pdf/2207.04136… github.com/Lifelong-ML/Co…

How can a #MachineLearning agent reuse knowledge over a lifetime of tasks? Check out our new survey on #ContinualLearning and #Composition. We explore these two (~disjoint) fields and draw connections between them, offering avenues for future work. 🧵👇 arxiv.org/pdf/2207.07730…

Congratulations to Meghna Gummadi for her first paper with our group! Don't miss her poster presentation today CoLLAs 2025 at 11 a.m. ET on task-agnostic #ContinualLearning via novelty detection.

Great talk today by Dan Hashimoto, MD MS FACS about the future of data science in surgery and how engineers / scientists can help build data driven systems to produce better patient outcomes!

Exciting work from AI at Meta looking at LLMs from the perspective of continual learners, demonstrating learning without forgetting across a range of datasets! Is this style of model the future of continual learning? x.com/MetaAI/status/…

Aran Komatsuzaki This is the essence of Continual Learning. The answer seems to be yes. arxiv.org/abs/2205.12393

📢 Exciting News! The Fourth Conference on Lifelong Learning Agents (CoLLAs 2025) will be held at the University of Pennsylvania (Penn) in Philadelphia, USA 🇺🇸 🗓️ Important Dates: Abstract Deadline: Feb 21, 2025 Submission Deadline: Feb 26, 2025 Conference Dates: Aug 11 - Aug