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Brenden Lake
1,118 posts
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Brenden Lake
@LakeBrenden
Associate Professor of Computer Science and Psychology @ Princeton. Posts are my views only
Manhattan, NY
cs.princeton.edu/~bl8144/
Joined June 2018
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  • user avatar
    Brenden Lake
    @LakeBrenden
    Oct 25, 2023
    Today in Nature, we show how a standard neural net, optimized for compositional skills, can mimic human systematic generalization (SG) in a head-to-head comparison. This is the capstone of a 5 year effort with Marco Baroni to make progress on SG. (1/8) nature.com/articles/s4158…
    302K
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    Brenden Lake
    @LakeBrenden
    Jun 12, 2025
    I'm joining Princeton as an Associate Professor of Computer Science and Psychology this fall! Princeton is ambitiously investing in AI and Natural & Artificial Minds, and I'm excited for my lab to contribute. Recruiting postdocs and Ph.D. students in CS and Psychology — join us!
    Nassau Hall. Photo credit to Debbie and John O'Boyle
    97K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Dec 8, 2020
    We train a self-supervised net "through the eyes" of one baby across 2 years of development. At #NeurIPS2020, Emin Orhan shows how high-level visual representations emerge. Paper & pre-trained net github.com/eminorhan/baby… Poster Thurs Noon EST neurips.cc/virtual/2020/p…
  • user avatar
    Brenden Lake
    @LakeBrenden
    Mar 28, 2023
    Which is more incorrect, the original tweet or Twitter's added context?
    205K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Apr 17, 2024
    I got tenure! It was fitting that I got to celebrate with the lab right after the news. Working together for the last 6.5 years has been a blast.
    54K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Sep 8, 2025
    Our new lab for Human & Machine Intelligence is officially open at Princeton University! Consider applying for a PhD or Postdoc position, either through the depts. of Computer Science or Psychology. You can register interest on our new website lake-lab.github.io (1/2)
    52K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Jan 17, 2019
    What makes people smarter than machines? Reading list for my NYU class "Advancing AI through Cognitive Science" has paired papers in AI and CogSci organized by topic, highlighting key ingredients for building machines that learn and think like people. brendenlake.github.io/AAI-site/
  • user avatar
    Brenden Lake
    @LakeBrenden
    Aug 3, 2020
    We train large-scale neural nets "through the eyes" of one baby across 2 years of development. New paper from Emin Orhan shows how high-level visual representations emerge from a subset of one baby's experience, through only self-supervised learning. arxiv.org/abs/2007.16189 (1/2)
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    arxiv.org
    Self-supervised learning through the eyes of a child
    Within months of birth, children develop meaningful expectations about the world around them. How much of this early knowledge can be explained through generic learning mechanisms applied to...
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    Brenden Lake
    @LakeBrenden
    Dec 7, 2020
    Children use the mutual exclusivity bias to learn new words, while standard deep nets show the opposite bias, often hindering learning. @gandhikanishk introduces this challenge for ML at #NeurIPS2020. Paper proceedings.neurips.cc//paper_files/p… Poster Thu Noon EST neurips.cc/virtual/2020/p…
  • user avatar
    Brenden Lake
    @LakeBrenden
    Jun 26, 2019
    Children use the mutual exclusivity (ME) bias to learn new words, while standard neural nets show the opposite bias, hindering learning in common scenarios. New preprint from @gandhikanishk introduces ME as a challenge for neural networks arxiv.org/abs/1906.10197
  • user avatar
    Brenden Lake
    @LakeBrenden
    Aug 7, 2025
    While cleaning out my office this morning, I found my first complete drawing of Bayesian Program Learning for Omniglot. The one piece of paper I'll keep! (1/2) science.org/doi/10.1126/sc…
    36K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Mar 22, 2024
    Now out in Nature Machine Intelligence, Emin Orhan shows how high-level visual representations are learnable from a child's proxy visual input, without strong inductive biases, and can be applied to a range of visual benchmarks. nature.com/articles/s4225…
    56K
  • user avatar
    Brenden Lake
    @LakeBrenden
    Jun 28, 2021
    Professor Gary Cottrell took me in as a summer intern in high school, and introduced me to neural networks and cognitive science. I loved it, and his lessons ended up shaping my education and career. It's only appropriate that Gary teaches the next generation Lake too.
  • user avatar
    Brenden Lake
    @LakeBrenden
    Oct 22, 2025
    There are still open desks in our new Human & Machine Intelligence lab at Princeton. Express your interest in joining us: lake-lab.github.io/apply/
    22K

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