Brenden M. Lake

112 papers A* 12B 43Journal 53Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Neurosymbolic Model of Human Reasoning on the Abstraction and Reasoning Corpus. CogSci Solim LeGris, Brenden M. Lake, Todd M. Gureckis
2025	J	`jnl`	An explainable transformer circuit for compositional generalization. CoRR Cheng Tang, Brenden M. Lake, Mehrdad Jazayeri
2025	B	`conf`	Do Large Language Models Reason Causally Like Us? Even Better? CogSci Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder
2025	J	`jnl`	Do Large Language Models Reason Causally Like Us? Even Better? CoRR Hanna M. Dettki, Brenden M. Lake, Charley M. Wu, Bob Rehder
2025	J	`jnl`	Do different prompting methods yield a common task representation in language models? CoRR Guy Davidson, Todd M. Gureckis, Brenden M. Lake, Adina Williams
2025	B	`conf`	Goal Inference using Reward-Producing Programs in a Novel Physics Environment. CogSci Guy Davidson, Graham Todd, Cédric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake
2025	J	`jnl`	Goals as reward-producing programs. Nat. Mac. Intell. Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
2025	J	`jnl`	On the robustness of modeling grounded word learning through a child's egocentric input. CoRR Wai Keen Vong, Brenden M. Lake
2025	A*	`conf`	Rapid Word Learning Through Meta In-Context Learning. EMNLP Wentao Wang, Guangyuan Jiang, Tal Linzen, Brenden M. Lake
2025	J	`jnl`	Rapid Word Learning Through Meta In-Context Learning. CoRR Wentao Wang, Guangyuan Jiang, Tal Linzen, Brenden M. Lake
2025	J	`jnl`	SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. CoRR Chen Yueh-Han, Guy Davidson, Brenden M. Lake
2025	J	`jnl`	Whither symbols in the era of advanced neural networks? CoRR Thomas L. Griffiths, Brenden M. Lake, R. Thomas McCoy, Ellie Pavlick, Taylor W. Webb
2024	B	`conf`	A systematic investigation of learnability from single child linguistic input. CogSci Yulu Qin, Wentao Wang, Brenden M. Lake
2024	J	`jnl`	A systematic investigation of learnability from single child linguistic input. CoRR Yulu Qin, Wentao Wang, Brenden M. Lake
2024	B	`conf`	An Infant-Cognition Inspired Machine Benchmark for Identifying Agency, Affiliation, Belief, and Intention. CogSci Wenjie Li, Shannon C. Yasuda, Moira R. Dillon, Brenden M. Lake
2024	A*	`conf`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. NeurIPS Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	J	`jnl`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	J	`jnl`	CoLLEGe: Concept Embedding Generation for Large Language Models. CoRR Ryan Teehan, Brenden M. Lake, Mengye Ren
2024	J	`jnl`	Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths
2024	B	`conf`	Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. CogSci Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024	B	`conf`	Compositional learning of functions in humans and machines. CogSci Yanli Zhou, Brenden M. Lake, Adina Williams
2024	J	`jnl`	Compositional learning of functions in humans and machines. CoRR Yanli Zhou, Brenden M. Lake, Adina Williams
2024	B	`conf`	Finding Unsupervised Alignment of Conceptual Systems in Image-Word Representations. CogSci Kexin Luo, Bei Zhang, Yajie Xiao, Brenden M. Lake
2024	J	`jnl`	Goals as Reward-Producing Programs. CoRR Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
2024	J	`jnl`	H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark. CoRR Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2024	B	`conf`	Is Deep Learning the Answer for Understanding Human Cognitive Dynamics? CogSci John P. Spencer, Brenden M. Lake, Raul Grieben, Gregor Schöner, Mariya Toneva, Gina R. Kuperberg
2024	J	`jnl`	Learning high-level visual representations from a child's perspective without strong inductive biases. Nat. Mac. Intell. A. Emin Orhan, Brenden M. Lake
2024	J	`jnl`	Neural networks that overcome classic challenges through practice. CoRR Kazuki Irie, Brenden M. Lake
2024	B	`conf`	Predicting Insight during Physical Reasoning. CogSci Solim LeGris, Brenden M. Lake, Todd M. Gureckis
2024	B	`conf`	Prompting invokes expert-like downward shifts in GPT-4V's conceptual hierarchies. CogSci Cara Su-Yi Leong, Brenden M. Lake
2024	B	`conf`	Self-supervised learning of video representations from a child's perspective. CogSci A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
2024	J	`jnl`	Self-supervised learning of video representations from a child's perspective. CoRR A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
2023	J	`jnl`	Compositional diversity in visual concept learning. CoRR Yanli Zhou, Reuben Feinman, Brenden M. Lake
2023	J	`jnl`	Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
2023	J	`jnl`	Human-like systematic generalization through a meta-learning neural network. Nat. Brenden M. Lake, Marco Baroni
2023	J	`jnl`	What can generic neural networks learn from a child's visual experience? CoRR A. Emin Orhan, Brenden M. Lake
2022	B	`conf`	A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CogSci Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2022	J	`jnl`	A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CoRR Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2022	B	`conf`	Categorising images by generating natural language rules. CogSci Wai Keen Vong, Brenden M. Lake
2022	B	`conf`	Creativity, Compositionality, and Common Sense in Human Goal Generation. CogSci Guy Davidson, Todd M. Gureckis, Brenden M. Lake
2022	J	`jnl`	Cross-Situational Word Learning With Multimodal Neural Networks. Cogn. Sci. Wai Keen Vong, Brenden M. Lake
2022	B	`conf`	Evaluating locality in NMT models. CogSci Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes
2022	B	`conf`	Improving Systematic Generalization Through Modularity and Augmentation. CogSci Laura Ruis, Brenden M. Lake
2022	J	`jnl`	Improving Systematic Generalization Through Modularity and Augmentation. CoRR Laura Ruis, Brenden M. Lake
2021	A*	`conf`	Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. NeurIPS Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon
2021	J	`jnl`	Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. CoRR Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon
2021	A*	`conf`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2021	B	`conf`	Evaluating infants' reasoning about agents using the Baby Intuitions Benchmark (BIB). CogSci Gala Stojnic, Kanishk Gandhi, Brenden M. Lake, Moira R. Dillon
2021	B	`conf`	Examining Infant Relation Categorization Through Deep Neural Networks. CogSci Guy Davidson, Brenden M. Lake
2021	B	`conf`	Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	J	`jnl`	Fast and flexible: Human program induction in abstract reasoning tasks. CoRR Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	J	`jnl`	Flexible Compositional Learning of Structured Visual Concepts. CoRR Yanli Zhou, Brenden M. Lake
2021	A*	`conf`	Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
2021	J	`jnl`	Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
2021	A*	`conf`	Learning Task-General Representations with Generative Neuro-Symbolic Modeling. ICLR Reuben Feinman, Brenden M. Lake
2021	B	`conf`	Modeling Question Asking Using Neural Program Generation. CogSci Ziyun Wang, Brenden M. Lake
2021	B	`conf`	Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. CogSci Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
2021	B	`conf`	The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik
2020	A*	`conf`	A Benchmark for Systematic Generalization in Grounded Language Understanding. NeurIPS Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
2020	J	`jnl`	A Benchmark for Systematic Generalization in Grounded Language Understanding. CoRR Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
2020	J	`jnl`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2020	B	`conf`	Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. CogSci Arihant Jain, Brenden M. Lake, Todd M. Gureckis
2020	B	`conf`	Generating new concepts with hybrid neuro-symbolic models. CogSci Reuben Feinman, Brenden M. Lake
2020	J	`jnl`	Generating new concepts with hybrid neuro-symbolic models. CoRR Reuben Feinman, Brenden M. Lake
2020	B	`conf`	Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. CogSci Guy Davidson, Brenden M. Lake
2020	J	`jnl`	Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. CoRR Guy Davidson, Brenden M. Lake
2020	A*	`conf`	Learning Compositional Rules via Neural Program Synthesis. NeurIPS Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
2020	J	`jnl`	Learning Compositional Rules via Neural Program Synthesis. CoRR Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake
2020	J	`jnl`	Learning Task-General Representations with Generative Neuro-Symbolic Modeling. CoRR Reuben Feinman, Brenden M. Lake
2020	B	`conf`	Learning word-referent mappings and concepts from raw inputs. CogSci Wai Keen Vong, Brenden M. Lake
2020	J	`jnl`	Learning word-referent mappings and concepts from raw inputs. CoRR Wai Keen Vong, Brenden M. Lake
2020	A*	`conf`	Mutual exclusivity as a challenge for deep neural networks. NeurIPS Kanishk Gandhi, Brenden M. Lake
2020	A*	`conf`	Self-supervised learning through the eyes of a child. NeurIPS A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake
2020	J	`jnl`	Self-supervised learning through the eyes of a child. CoRR A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake
2020	J	`jnl`	Word meaning in minds and machines. CoRR Brenden M. Lake, Gregory L. Murphy
2019	B	`conf`	Asking goal-oriented questions and learning from answers. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2019	A*	`conf`	Compositional generalization through meta sequence-to-sequence learning. NeurIPS Brenden M. Lake
2019	J	`jnl`	Compositional generalization through meta sequence-to-sequence learning. CoRR Brenden M. Lake
2019	B	`conf`	Human few-shot learning of compositional instructions. CogSci Brenden M. Lake, Tal Linzen, Marco Baroni
2019	J	`jnl`	Human few-shot learning of compositional instructions. CoRR Brenden M. Lake, Tal Linzen, Marco Baroni
2019	J	`jnl`	Improving the robustness of ImageNet classifiers using elements of human visual cognition. CoRR A. Emin Orhan, Brenden M. Lake
2019	B	`conf`	Learning a smooth kernel regularizer for convolutional neural networks. CogSci Reuben Feinman, Brenden M. Lake
2019	J	`jnl`	Learning a smooth kernel regularizer for convolutional neural networks. CoRR Reuben Feinman, Brenden M. Lake
2019	J	`jnl`	Modeling question asking using neural program generation. CoRR Ziyun Wang, Brenden M. Lake
2019	J	`jnl`	Mutual exclusivity as a challenge for neural networks. CoRR Kanishk Gandhi, Brenden M. Lake
2019	J	`jnl`	People infer recursive visual concepts from just a few examples. CoRR Brenden M. Lake, Steven T. Piantadosi
2019	J	`jnl`	The Omniglot Challenge: A 3-Year Progress Report. CoRR Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
2018	A*	`conf`	Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks. ICML Brenden M. Lake, Marco Baroni
2018	B	`conf`	Learning Inductive Biases with Simple Neural Networks. CogSci Reuben Feinman, Brenden M. Lake
2018	J	`jnl`	Learning Inductive Biases with Simple Neural Networks. CoRR Reuben Feinman, Brenden M. Lake
2018	—	`conf`	Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. BlackboxNLP@EMNLP João Loula, Marco Baroni, Brenden M. Lake
2018	J	`jnl`	Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. CoRR João Loula, Marco Baroni, Brenden M. Lake
2017	B	`conf`	One-shot Learning and Classification in Children. CogSci Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum
2017	B	`conf`	Progress in building a machine that can ask interesting and informative questions. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2017	—	`conf`	Question Asking as Program Generation. NIPS Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2017	J	`jnl`	Question Asking as Program Generation. CoRR Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2017	J	`jnl`	Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. CoRR Brenden M. Lake, Marco Baroni
2016	B	`conf`	Asking and evaluating natural language questions. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2016	J	`jnl`	Building Machines That Learn and Think Like People. CoRR Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman
2016	B	`conf`	Searching large hypothesis spaces by asking questions. CogSci Alexander Cohen, Brenden M. Lake
2016	J	`jnl`	The Emergence of Organizing Structure in Conceptual Representation. CoRR Brenden M. Lake, Neil D. Lawrence, Joshua B. Tenenbaum
2015	B	`conf`	Asking useful questions: Active learning with rich queries. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2015	B	`conf`	Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
2015	—	`conf`	Softstar: Heuristic-Guided Probabilistic Inference. NIPS Mathew Monfort, Brenden M. Lake, Brian D. Ziebart, Patrick Lucey, Joshua B. Tenenbaum
2014	B	`conf`	Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. CogSci Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis
2014	B	`conf`	Computational Creativity: Generating new objects with a hierarchical Bayesian model. CogSci Brenden M. Lake, Josh Tenenbaum
2014	B	`conf`	One-shot learning of generative speech concepts. CogSci Brenden M. Lake, Chia-ying Lee, James R. Glass, Joshua B. Tenenbaum
2013	—	`conf`	One-shot learning by inverting a compositional causal process. NIPS Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
2012	B	`conf`	Concept learning as motor program induction: A large-scale empirical study. CogSci Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
2011	B	`conf`	Estimating the strength of unlabeled information during semi-supervised learning. CogSci Brenden M. Lake, James L. McClelland
2011	B	`conf`	One shot learning of simple visual concepts. CogSci Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum
2009	J	`jnl`	Modeling Unsupervised Perceptual Category Learning. IEEE Trans. Auton. Ment. Dev. Brenden M. Lake, Gautam K. Vallabha, James L. McClelland