Brenden M. Lake

According to our database, Brenden M. Lake authored at least 57 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CoLLEGe: Concept Embedding Generation for Large Language Models.

Ryan Teehan, Brenden M. Lake, Mengye Ren

CoRR, 2024

Compositional learning of functions in humans and machines.

Yanli Zhou, Brenden M. Lake, Adina Williams

CoRR, 2024

A systematic investigation of learnability from single child linguistic input.

Yulu Qin, Wentao Wang, Brenden M. Lake

CoRR, 2024

Self-supervised learning of video representations from a child's perspective.

A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake

CoRR, 2024

2023

Human-like systematic generalization through a meta-learning neural network.

Brenden M. Lake, Marco Baroni

Nat., 2023

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.

Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick

CoRR, 2023

Compositional diversity in visual concept learning.

Yanli Zhou, Reuben Feinman, Brenden M. Lake

CoRR, 2023

What can generic neural networks learn from a child's visual experience?

A. Emin Orhan, Brenden M. Lake

CoRR, 2023

2022

Improving Systematic Generalization Through Modularity and Augmentation.

Laura Ruis, Brenden M. Lake

CoRR, 2022

A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines.

Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake

CoRR, 2022

Cross-Situational Word Learning With Multimodal Neural Networks.

Wai Keen Vong, Brenden M. Lake

Cogn. Sci., 2022

2021

Flexible Compositional Learning of Structured Visual Concepts.

Yanli Zhou, Brenden M. Lake

CoRR, 2021

Fast and flexible: Human program induction in abstract reasoning tasks.

Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis

CoRR, 2021

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning.

Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others.

Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CURI: A Benchmark for Productive Concept Learning Under Uncertainty.

Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Task-General Representations with Generative Neuro-Symbolic Modeling.

Reuben Feinman, Brenden M. Lake

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Word meaning in minds and machines.

Brenden M. Lake, Gregory L. Murphy

CoRR, 2020

A Benchmark for Systematic Generalization in Grounded Language Understanding.

Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-supervised learning through the eyes of a child.

A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Compositional Rules via Neural Program Synthesis.

Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mutual exclusivity as a challenge for deep neural networks.

Kanishk Gandhi, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning word-referent mappings and concepts from raw inputs.

Wai Keen Vong, Brenden M. Lake

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information.

Arihant Jain, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Generating new concepts with hybrid neuro-symbolic models.

Reuben Feinman, Brenden M. Lake

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning.

Guy Davidson, Brenden M. Lake

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Modeling question asking using neural program generation.

Ziyun Wang, Brenden M. Lake

CoRR, 2019

Mutual exclusivity as a challenge for neural networks.

Kanishk Gandhi, Brenden M. Lake

CoRR, 2019

Improving the robustness of ImageNet classifiers using elements of human visual cognition.

A. Emin Orhan, Brenden M. Lake

CoRR, 2019

People infer recursive visual concepts from just a few examples.

Brenden M. Lake, Steven T. Piantadosi

CoRR, 2019

The Omniglot Challenge: A 3-Year Progress Report.

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum

CoRR, 2019

Compositional generalization through meta sequence-to-sequence learning.

Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asking goal-oriented questions and learning from answers.

Anselm Rothe, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Human few-shot learning of compositional instructions.

Brenden M. Lake, Tal Linzen, Marco Baroni

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Learning a smooth kernel regularizer for convolutional neural networks.

Reuben Feinman, Brenden M. Lake

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks.

Brenden M. Lake, Marco Baroni

Proceedings of the 35th International Conference on Machine Learning, 2018

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks.

João Loula, Marco Baroni, Brenden M. Lake

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Learning Inductive Biases with Simple Neural Networks.

Reuben Feinman, Brenden M. Lake

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks.

Brenden M. Lake, Marco Baroni

CoRR, 2017

Question Asking as Program Generation.

Anselm Rothe, Brenden M. Lake, Todd M. Gureckis

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Progress in building a machine that can ask interesting and informative questions.

Anselm Rothe, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

One-shot Learning and Classification in Children.

Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Building Machines That Learn and Think Like People.

Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman

CoRR, 2016

The Emergence of Organizing Structure in Conceptual Representation.

Brenden M. Lake, Neil D. Lawrence, Joshua B. Tenenbaum

CoRR, 2016

Asking and evaluating natural language questions.

Anselm Rothe, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Searching large hypothesis spaces by asking questions.

Alexander Cohen, Brenden M. Lake

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Softstar: Heuristic-Guided Probabilistic Inference.

Mathew Monfort, Brenden M. Lake, Brian D. Ziebart, Patrick Lucey, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Asking useful questions: Active learning with rich queries.

Anselm Rothe, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Deep Neural Networks Predict Category Typicality Ratings for Images.

Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Computational Creativity: Generating new objects with a hierarchical Bayesian model.

Brenden M. Lake, Josh Tenenbaum

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

One-shot learning of generative speech concepts.

Brenden M. Lake, Chia-ying Lee, James R. Glass, Joshua B. Tenenbaum

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data.

Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

One-shot learning by inverting a compositional causal process.

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Concept learning as motor program induction: A large-scale empirical study.

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

One shot learning of simple visual concepts.

Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Estimating the strength of unlabeled information during semi-supervised learning.

Brenden M. Lake, James L. McClelland

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2009

Modeling Unsupervised Perceptual Category Learning.

Brenden M. Lake, Gautam K. Vallabha, James L. McClelland

IEEE Trans. Auton. Ment. Dev., 2009