Preparing for CoLLAs 2026, we’re revisiting last year’s standout keynotes:
Computational Building Blocks for Complex Cognition - Cristina Savin
www.youtube.com/watch?v=7gZC...
Join us in Bucharest:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026 in Bucharest, Romania
Preparing for CoLLAs 2026, we’re revisiting last year’s standout keynotes:
Leveraging Traces for Continual Reinforcement Learning - Martha White
www.youtube.com/watch?v=Y6aw...
Join us in Bucharest:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026
Preparing for CoLLAs 2026, we’re revisiting last year’s standout keynotes:
Non Stationarity Online Learning and Loss of Plasticity - Andras Gyorgy
www.youtube.com/watch?v=Atbs...
Join us in Bucharest:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17 2026
What Happens After We Solve Continual Learning? - Stephanie Chan
www.youtube.com/watch?v=Ri6H...
As we look ahead to CoLLAs 2026, we’re revisiting last year’s standout keynote sessions.
Call for papers:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026 in Bucharest, Romania
Continual Federated Learning - Qiang Yang
www.youtube.com/watch?v=gzYY...
Looking ahead to CoLLAs 2026, we’re revisiting last year’s standout keynote sessions.
Call for papers:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026 in Bucharest, Romania
Beyond Catastrophic Forgetting - Vineeth Balasubramanian
www.youtube.com/watch?v=bxOb...
As we look ahead to CoLLAs 2026, we’re revisiting last year’s standout keynote sessions.
Call for papers:
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026 in Bucharest, Romania
As we look ahead to CoLLAs 2026, we’re revisiting last year’s standout keynote sessions.
Resolving the Sensorimotor Dilemma - George Konidaris
www.youtube.com/watch?v=nTGN...
🔗 Abstract deadline: 10th April
📅 Conference: Sep 14–17, 2026 in Bucharest, Romania
The CoLLAs 2026 website is LIVE!
We invite researchers to explore all facets of ML adaptation, from incorporating new capabilities during continuous training to efficiently removing outdated or harmful data.
📍 Bucharest, Romania, Sep 14–17, 2026
🔗 Call for Papers: lifelong-ml.cc/Conferences/...
👏 Join us in celebrating these early-career researchers at #CoLLAs2025!
📍 Aug 11–14 @ University of Pennsylvania
🔗 lifelong-ml.cc/Conferences/...
#AI #ML #LifelongLearning #ContinualLearning #CoLLAs2025
🧩 @jmendezm.bsky.social (Stony Brook University)
Talk: Unlocking Lifelong Robot Learning With Modularity
Jorge shows how modularity in robotics enables scalable lifelong learning for robots.
#RobotLearning #Modularity #EmbodiedAI
🔍 @tylerlhayes.bsky.social (Georgia Tech)
Talk: Adapting to the Unknown: Lifelong Learning, Novelty Discovery, & Beyond
Tyler presents two complementary paradigms for enabling adaptation in neural networks: dynamic adaptation and static adaptation.
#NoveltyDiscovery #OpenWorld #LifelongLearning
🤖 Jaehong Yoon (NTU Singapore)
Talk: Toward Continually Growing Embodied AIs via Selective and Purposeful Experience
From multimodal LLMs to LLM-generated training environments, Jaehong shows how purposeful experience helps agents grow efficiently.
#EmbodiedAI #ContinualLearning #LLMs
🧠 @khimya.bsky.social (Google DeepMind)
Talk: Navigating the Affordance Landscape for Continual Agent Adaptation
She propose rethinking the agent-environment interaction through the lens of affordances and using that to develop data-efficient agents.
#RL #Affordances #ContinualLearning
🎉 Announcing the winners of the #CoLLAs2025 Early-Career Spotlight Program!
These rising stars are pushing the boundaries of lifelong & continual learning, adaptation, and embodied AI.
👇 A thread introducing their work & talks.
#AI #MachineLearning #ContinualLearning #LifelongLearning
🧠 Don't miss the tutorials at #CoLLAs2025!
We’re excited to host two deep dives into the theory and practice of lifelong learning:
📍Information-Theoretic Measures for Multi-Expert FM Adaptation
📍Mathematics of Continual Learning
Details below 👇
📘 Mathematics of Continual Learning
by Liangzu Peng & René Vidal
A deep dive into the mathematical principles behind continual learning and adaptive filtering. Highlights connections between the two fields and proposes directions grounded in rigorous theory.
🔗 arxiv.org/abs/2504.17963
🔍 Information-Theoretic Measures for Multi-Expert FM Adaptation by Yang Li & Shao-Lun Huang
How much should we transfer from each expert model? This tutorial explores info-theoretic tools (KL, HGR, entropy, etc.) to measure and guide expert utility in multi-source & continual learning.
🧠 Don't miss the tutorials at #CoLLAs2025!
We’re excited to host two deep dives into the theory and practice of lifelong learning:
📍Information-Theoretic Measures for Multi-Expert FM Adaptation
📍Mathematics of Continual Learning
Details below 👇
📢 2 weeks until #CoLLAs2025!
Here’s what you need to make the most of it
🗓 Program: lifelong-ml.cc/Conferences/...
✅ Papers: lifelong-ml.cc/Conferences/...
📍 Venue: lifelong-ml.cc/Conferences/...
🔗 Info & registration: lifelong-ml.cc/Conferences/...
#AI #ML #ContinualLearning #LifelongLearning
📢 Present your published work at #CoLLAs2025!
Submit recent papers (JMLR, TMLR, NeurIPS, etc.) on lifelong/continual learning, LLMs, online learning & more.
🗓 Deadline: July 5
🔗 lifelong-ml.cc/Conferences/...
#AI #MachineLearning #LifelongLearning #ContinualLearning
📢 Only 8 weeks to #CoLLAs2025!
Tackle the real-world challenges of ML: catastrophic forgetting, dist. shift, continual RL, lifelong learning & more.
📍 Aug 11–14 @upenn.edu
🧠 Talks, workshops, posters, tutorials & community
🔗 lifelong-ml.cc/Conferences/...
#ContinualLearning #AI #MachineLearning
⏰ Reminder: Only 5 days left to apply for CoLLAs Early-Career Spotlight Program for rising researchers to present their vision & trajectory in #lifelonglearning.
📅 Deadline: June 2, 2025, 23:59 AoE
🔗 lifelong-ml.cc/Conferences/...
#CoLLAs2025 #EarlyCareer #ContinualLearning #AI #MachineLearning
📢 1 week left! Submit to the #CoLLAs2025 Workshop Track — ideal for early work & papers under review.
🧠 Spotlight: #LifelongLearning in Cognitive Science
🗓 Deadline: May 22, 2025 (AoE)
🔗 openreview.net/group?id=lifelong-ml.cc/CoLLAs/2025/Workshop_Track
#ContinualLearning #WorkshopCFP
📢 Reminder: Submit to the #CoLLAs2025 Workshop Track!
Great venue for early work & papers under review. This year’s spotlight: Lifelong Learning in Cognitive Science 🧠✨
🗓 Deadline: May 22, 2025 (AoE)
🔗 openreview.net/group?id=lif...
#ContinualLearning #LifelongLearning #AI #CognitiveScience
Submit your tutorial proposal or topic/presenter suggestions to tutorials@lifelong-ml.cc by April 30!
📢 Extended Deadline for Tutorials 📢
You now have until April 30, 2025 (AoE) to submit your tutorial proposals on continual learning, LLMs, neuroscience-inspired AI & more.
🔗 lifelong-ml.cc
💡 Suggest a topic: tutorials@lifelong-ml.cc
#AI #MachineLearning #ContinualLearning #CallForTutorials
🚀We’ve created a spotlight program for early Postdoc/starting faculty/industry equivalent researchers to highlight their contributions & vision in a 30 minute spotlight talk at CoLLAs!
It’s a unique opportunity & recognition!
Applications are open until May 26 AOE: lifelong-ml.cc/Conferences/...
We’re inviting applications for our Early-Career Spotlight Program—a chance for rising researchers to present their vision & trajectory in #lifelonglearning.
📅 Apply by May 26, 2025
📢 30-min invited talk + blog feature
🔗 lifelong-ml.cc/Conferences/...
#AI #MachineLearning #ContinualLearning
Got ongoing work or a paper under review? Submit to the #CoLLAs2025 Workshop Track! This year, we’re also highlighting Lifelong Learning in Cognitive Science 🧠✨
🔹 Deadline: May 22, 2025 (AoE)
🔗 lifelong-ml.cc/Conferences/...
#ContinualLearning #LifelongLearning #AI #CognitiveScience
📢 Call for Tutorials 📢
We’re inviting 2-hour tutorial proposals on continual learning, non-stationary learning, LLMs, neuroscience & more! 🧠📚
🔹 Deadline: April 15, 2025 (AoE)
💡 Suggest a topic: tutorials@lifelong-ml.cc
🔗 lifelong-ml.cc
#MachineLearning #ContinualLearning #AI #CallForTutorials
