no code implementations • 14 Oct 2023 • Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
Much of this prior work focuses on training convolutional neural networks to classify images of two same or two different abstract shapes, testing generalization on within-distribution stimuli.
no code implementations • 29 Nov 2022 • Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
We introduce KiloGram, a resource for studying abstract visual reasoning in humans and machines.
1 code implementation • 16 Feb 2022 • Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
In this work, we re-examine the inductive biases of neural networks by adapting the stimuli and procedure from Geirhos et al. (2019) to more closely follow the developmental paradigm and test on a wide range of pre-trained neural networks.
no code implementations • 10 Mar 2021 • Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
The Abstraction and Reasoning Corpus (ARC) is a challenging program induction dataset that was recently proposed by Chollet (2019).
1 code implementation • 7 Feb 2021 • Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
State-of-the-art deep-learning systems use decision rules that are challenging for humans to model.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1
no code implementations • 12 Mar 2020 • Wai Keen Vong, Brenden M. Lake
How do children learn correspondences between the language and the world from noisy, ambiguous, naturalistic input?
no code implementations • 24 May 2017 • Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Cooperative transmission of data fosters rapid accumulation of knowledge by efficiently combining experiences across learners.