Brenden M. Lake

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 76

Top Topics

Visual Representations

Hypothesis Space

Natural Language Questions

Top Venues

Publications

Yanli Zhou, Brenden M. Lake, Adina Williams
Compositional learning of functions in humans and machines. CoRR (2024)
Ryan Teehan, Brenden M. Lake, Mengye Ren
CoLLEGe: Concept Embedding Generation for Large Language Models. CoRR (2024)
Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR (2024)
A. Emin Orhan, Brenden M. Lake
Learning high-level visual representations from a child's perspective without strong inductive biases. Nat. Mac. Intell. 6 (3) (2024)
A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
Self-supervised learning of video representations from a child's perspective. CoRR (2024)
Yulu Qin, Wentao Wang, Brenden M. Lake
A systematic investigation of learnability from single child linguistic input. CoRR (2024)
Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
Goals as Reward-Producing Programs. CoRR (2024)
Brenden M. Lake, Marco Baroni
Human-like systematic generalization through a meta-learning neural network. Nat. 623 (7985) (2023)
Yanli Zhou, Reuben Feinman, Brenden M. Lake
Compositional diversity in visual concept learning. CoRR (2023)
Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR (2023)
A. Emin Orhan, Brenden M. Lake
What can generic neural networks learn from a child's visual experience? CoRR (2023)
Laura Ruis, Brenden M. Lake
Improving Systematic Generalization Through Modularity and Augmentation. CogSci (2022)
Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes
Evaluating locality in NMT models. CogSci (2022)
Laura Ruis, Brenden M. Lake
Improving Systematic Generalization Through Modularity and Augmentation. CoRR (2022)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CoRR (2022)
Guy Davidson, Todd M. Gureckis, Brenden M. Lake
Creativity, Compositionality, and Common Sense in Human Goal Generation. CogSci (2022)
Wai Keen Vong, Brenden M. Lake
Categorising images by generating natural language rules. CogSci (2022)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CogSci (2022)
Wai Keen Vong, Brenden M. Lake
Cross-Situational Word Learning With Multimodal Neural Networks. Cogn. Sci. 46 (4) (2022)
Guy Davidson, Brenden M. Lake
Examining Infant Relation Categorization Through Deep Neural Networks. CogSci (2021)
Reuben Feinman, Brenden M. Lake
Learning Task-General Representations with Generative Neuro-Symbolic Modeling. ICLR (2021)
Yanli Zhou, Brenden M. Lake
Flexible Compositional Learning of Structured Visual Concepts. CoRR (2021)
Gala Stojnic, Kanishk Gandhi, Brenden M. Lake, Moira R. Dillon
Evaluating infants' reasoning about agents using the Baby Intuitions Benchmark (BIB). CogSci (2021)
Ziyun Wang, Brenden M. Lake
Modeling Question Asking Using Neural Program Generation. CogSci (2021)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and flexible: Human program induction in abstract reasoning tasks. CoRR (2021)
Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik
The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci (2021)
Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS (2021)
Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR (2021)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci (2021)
Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. CoRR (2021)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. CogSci (2021)
Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. NeurIPS (2021)
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML (2021)
Wai Keen Vong, Brenden M. Lake
Learning word-referent mappings and concepts from raw inputs. CoRR (2020)
Wai Keen Vong, Brenden M. Lake
Learning word-referent mappings and concepts from raw inputs. CogSci (2020)
Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
A Benchmark for Systematic Generalization in Grounded Language Understanding. CoRR (2020)
A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake
Self-supervised learning through the eyes of a child. NeurIPS (2020)
Reuben Feinman, Brenden M. Lake
Learning Task-General Representations with Generative Neuro-Symbolic Modeling. CoRR (2020)
A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake
Self-supervised learning through the eyes of a child. CoRR (2020)
Reuben Feinman, Brenden M. Lake
Generating new concepts with hybrid neuro-symbolic models. CogSci (2020)
Kanishk Gandhi, Brenden M. Lake
Mutual exclusivity as a challenge for deep neural networks. NeurIPS (2020)
Brenden M. Lake, Gregory L. Murphy
Word meaning in minds and machines. CoRR (2020)
Reuben Feinman, Brenden M. Lake
Generating new concepts with hybrid neuro-symbolic models. CoRR (2020)
Arihant Jain, Brenden M. Lake, Todd M. Gureckis
Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. CogSci (2020)
Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
A Benchmark for Systematic Generalization in Grounded Language Understanding. NeurIPS (2020)
Guy Davidson, Brenden M. Lake
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. CoRR (2020)
Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake
Learning Compositional Rules via Neural Program Synthesis. CoRR (2020)
Guy Davidson, Brenden M. Lake
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. CogSci (2020)
Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
Learning Compositional Rules via Neural Program Synthesis. NeurIPS (2020)
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR (2020)
Brenden M. Lake
Compositional generalization through meta sequence-to-sequence learning. CoRR (2019)
Reuben Feinman, Brenden M. Lake
Learning a smooth kernel regularizer for convolutional neural networks. CogSci (2019)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking goal-oriented questions and learning from answers. CogSci (2019)
Brenden M. Lake, Tal Linzen, Marco Baroni
Human few-shot learning of compositional instructions. CoRR (2019)
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
The Omniglot Challenge: A 3-Year Progress Report. CoRR (2019)
Brenden M. Lake, Tal Linzen, Marco Baroni
Human few-shot learning of compositional instructions. CogSci (2019)
Reuben Feinman, Brenden M. Lake
Learning a smooth kernel regularizer for convolutional neural networks. CoRR (2019)
A. Emin Orhan, Brenden M. Lake
Improving the robustness of ImageNet classifiers using elements of human visual cognition. CoRR (2019)
Kanishk Gandhi, Brenden M. Lake
Mutual exclusivity as a challenge for neural networks. CoRR (2019)
Brenden M. Lake
Compositional generalization through meta sequence-to-sequence learning. NeurIPS (2019)
Ziyun Wang, Brenden M. Lake
Modeling question asking using neural program generation. CoRR (2019)
Brenden M. Lake, Steven T. Piantadosi
People infer recursive visual concepts from just a few examples. CoRR (2019)
Reuben Feinman, Brenden M. Lake
Learning Inductive Biases with Simple Neural Networks. CogSci (2018)
João Loula, Marco Baroni, Brenden M. Lake
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. CoRR (2018)
Reuben Feinman, Brenden M. Lake
Learning Inductive Biases with Simple Neural Networks. CoRR (2018)
Brenden M. Lake, Marco Baroni
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks. ICML (2018)
João Loula, Marco Baroni, Brenden M. Lake
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. BlackboxNLP@EMNLP (2018)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Progress in building a machine that can ask interesting and informative questions. CogSci (2017)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Question Asking as Program Generation. CoRR (2017)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Question Asking as Program Generation. NIPS (2017)
Brenden M. Lake, Marco Baroni
Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. CoRR (2017)
Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum
One-shot Learning and Classification in Children. CogSci (2017)
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman
Building Machines That Learn and Think Like People. CoRR (2016)
Alexander Cohen, Brenden M. Lake
Searching large hypothesis spaces by asking questions. CogSci (2016)
Brenden M. Lake, Neil D. Lawrence, Joshua B. Tenenbaum
The Emergence of Organizing Structure in Conceptual Representation. CoRR (2016)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking and evaluating natural language questions. CogSci (2016)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking useful questions: Active learning with rich queries. CogSci (2015)
Mathew Monfort, Brenden M. Lake, Brian D. Ziebart, Patrick Lucey, Joshua B. Tenenbaum
Softstar: Heuristic-Guided Probabilistic Inference. NIPS (2015)
Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci (2015)
Brenden M. Lake, Josh Tenenbaum
Computational Creativity: Generating new objects with a hierarchical Bayesian model. CogSci (2014)
Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis
Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. CogSci (2014)
Brenden M. Lake, Chia-ying Lee, James R. Glass, Joshua B. Tenenbaum
One-shot learning of generative speech concepts. CogSci (2014)
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
One-shot learning by inverting a compositional causal process. NIPS (2013)
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
Concept learning as motor program induction: A large-scale empirical study. CogSci (2012)
Brenden M. Lake, James L. McClelland
Estimating the strength of unlabeled information during semi-supervised learning. CogSci (2011)
Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum
One shot learning of simple visual concepts. CogSci (2011)
Brenden M. Lake, Gautam K. Vallabha, James L. McClelland
Modeling Unsupervised Perceptual Category Learning. IEEE Trans. Auton. Ment. Dev. 1 (1) (2009)