77 citations · 479 across the 36 of their papers we have counts for
8 papers · 1 filter
Modeling question asking using neural program generation
Ziyun Wang, Brenden M. Lake
People ask questions that are far richer, more informative, and more creative than current AI systems. We propose a neuro-symbolic framework for modeling human question asking, whi…
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi, Brenden M. Lake
Strong inductive biases allow children to learn in fast and adaptable ways. Children use the mutual exclusivity (ME) bias to help disambiguate how words map to referents, assuming…
Improving the robustness of ImageNet classifiers using elements of human visual cognition
A. Emin Orhan, Brenden M. Lake
We investigate the robustness properties of image recognition models equipped with two features inspired by human vision, an explicit episodic memory and a shape bias, at the Image…
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
People can learn a new concept and use it compositionally, understanding how to "blicket twice" after learning how to "blicket." In contrast, powerful sequence-to-sequence (seq2seq…
People infer recursive visual concepts from just a few examples
Brenden M. Lake, Steven T. Piantadosi
Machine learning has made major advances in categorizing objects in images, yet the best algorithms miss important aspects of how people learn and think about categories. People ca…
Learning a smooth kernel regularizer for convolutional neural networks
Reuben Feinman, Brenden M. Lake
Modern deep neural networks require a tremendous amount of data to train, often needing hundreds or thousands of labeled examples to learn an effective representation. For these ne…
The Omniglot challenge: a 3-year progress report
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
Three years ago, we released the Omniglot dataset for one-shot learning, along with five challenge tasks and a computational model that addresses these tasks. The model was not mea…
Human few-shot learning of compositional instructions
Brenden M. Lake, Tal Linzen, Marco Baroni
People learn in fast and flexible ways that have not been emulated by machines. Once a person learns a new verb "dax," he or she can effortlessly understand how to "dax twice," "wa…