Chandar Lab
@ChandarLab
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Sarath Chandar's research group at @polymtl and @Mila_Quebec. Our research focuses on lifelong learning, DL, RL, and NLP.
Montréal, Québec, Canada
Joined June 2021
RT @apsarathchandar: Please join us this Monday (Aug 19th) for a two-day symposium highlighting the research we did at @ChandarLab for the….
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RT @andreas_madsen: Are self-explanations from Large Language Models faithful? We are answering this question at ACL 2024. Where: ACL 2024….
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I am very proud and happy to announce that our.MSc graduate Ali Rahimi received the best Master's thesis award from the Canadian AI Association for 2024! . Ali's masters thesis shows that SOTA MBRL methods like Dreamer and MuZero are not adaptive and he also has a fix!.
We are very pleased to announce Ali Rahimi Kalahroudi (Université de Montréal) as the recipient of the CAIAC 2024 Best Master's Thesis Award. Ali's thesis was "Towards Adaptive Deep Model-Based Reinforcement Learning.".
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Check out one of our latest lab papers.
🚨Is solving complex tasks still challenging for your RL agent?. 👑 Subgoal Distillation: A Method to Improve Small Language Agents. Paper: w/ @EliasEskin @Cote_Marc @apsarathchandar
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RT @AbdelZayed1: Our recent AAAI paper shows that certain attention heads in transformers are responsible for bias and pruning them improve….
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🎉 Exciting start to 2024 for our lab! 🚀 .Two papers accepted at ICLR, with one ranking in the top 1.2%! Plus, a publication in Digital Discovery journal. We are proud of our team's hard work and innovative research. #ICLR2024 #ResearchExcellence #MachineLearning #crystalDesign.
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RT @apsarathchandar: At @ChandarLab, we are happy to announce the launch of our assistantce program to provide feedback for members of comm….
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RT @apsarathchandar: Can large language models consolidate world knowledge? The answer turns out to be "NO". I am very excited to present t….
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RT @apsarathchandar: If you wanna learn more about the recent advances in deep learning, reinforcement learning, and NLP that has come out….
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RT @CoLLAs_Conf: It's time to mark your calendars! 🗓️ The official schedule for #CoLLAs2023 is now up at Brace you….
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RT @apsarathchandar: Introducing an improved adaptive optimizer: Adam with Critical momenta (Adam+CM)! Unlike traditional Adam, it promotes….
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RT @apsarathchandar: Want to know more about what is happening at @ChandarLab? Please join our annual research symposium (.
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RT @apsarathchandar: This is one of our efforts to promote research in lifelong learning. We are also organizing a new focused conference o….
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RT @apsarathchandar: I am very excited to release this primer on lifelong supervised learning: Lifelong learning i….
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RT @CoLLAs_Conf: We are excited to invite submissions to the Workshop track of CoLLAs 2022! The workshop track has no proceedings and all a….
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RT @CoLLAs_Conf: We hope you are doing well during these tough times. The deadline for CoLLAs has been extended as follows:.Abstract Deadli….
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RT @CoLLAs_Conf: The abstract deadline for CoLLAs is in 5 days, midnight on March 1st (AoE). We look forward to seeing your submissions on….
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RT @apsarathchandar: Only one week left for the application deadline! In addition to the listed topics (memory augmented networks, learning….
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RT @apsarathchandar: I am very excited to release the recordings of my Reinforcement Learning lectures! You can watch the first-week lectur….
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RT @andreas_madsen: There are two motivations for interpretability: “scientific understanding" and “trust in AI”. Unfortunately, these are….
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