Are they human? Detecting large language models by probing human memory constraints.

Brenden M. Lake Princeton University, USA New York University, USA https://orcid.org/0000-0001-8959-3401 https://www.wikidata.org/entity/Q125904967

Simon Schug Brenden M. Lake Are they human? Detecting large language models by probing human memory constraints. 2026 April abs/2604.00016 CoRR https://doi.org/10.48550/arXiv.2604.00016 db/journals/corr/corr2604.html#abs-2604-00016 streams/journals/corr

Sunayana Rane Brenden M. Lake Thomas L. Griffiths 0001 Investigating Concept Alignment Using Implausible Category Members. 2026 May abs/2605.21683 CoRR https://doi.org/10.48550/arXiv.2605.21683 db/journals/corr/corr2605.html#abs-2605-21683 streams/journals/corr

Liyi Zhang Akshay K. Jagadish Brenden M. Lake Thomas L. Griffiths 0001 Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models. 2026 June abs/2606.09856 CoRR https://doi.org/10.48550/arXiv.2606.09856 db/journals/corr/corr2606.html#abs-2606-09856 streams/journals/corr

Phoebe Zeng Thomas L. Griffiths 0001 Brenden M. Lake Nothing from Something: Can a Language Model Discover 0? 2026 June abs/2606.17289 CoRR https://doi.org/10.48550/arXiv.2606.17289 db/journals/corr/corr2606.html#abs-2606-17289 streams/journals/corr

Guy Davidson Graham Todd Julian Togelius Todd M. Gureckis Brenden M. Lake Goals as reward-producing programs. 205-220 2025 7 Nat. Mac. Intell. 2 https://doi.org/10.1038/s42256-025-00981-4 db/journals/natmi/natmi7.html#DavidsonTTGL25 streams/journals/natmi

Guy Davidson Graham Todd Cédric Colas Junyi Chu Julian Togelius Joshua B. Tenenbaum Todd M. Gureckis Brenden M. Lake Goal Inference using Reward-Producing Programs in a Novel Physics Environment. 2025 CogSci https://escholarship.org/uc/item/6tb2m1zv conf/cogsci/2025 db/conf/cogsci/cogsci2025.html#DavidsonTCCTTGL25 Hanna M. Dettki Brenden M. Lake Charley M. Wu Bob Rehder Do Large Language Models Reason Causally Like Us? Even Better? 2025 CogSci https://escholarship.org/uc/item/3t5733z4 conf/cogsci/2025 db/conf/cogsci/cogsci2025.html#DettkiLWR25 Solim LeGris Brenden M. Lake Todd M. Gureckis A Neurosymbolic Model of Human Reasoning on the Abstraction and Reasoning Corpus. 2025 CogSci https://escholarship.org/uc/item/1pf7x0x0 conf/cogsci/2025 db/conf/cogsci/cogsci2025.html#LeGrisLG25 Wentao Wang Guangyuan Jiang Tal Linzen Brenden M. Lake Rapid Word Learning Through Meta In-Context Learning. 32038-32073 2025 EMNLP https://doi.org/10.18653/v1/2025.emnlp-main.1631 conf/emnlp/2025 db/conf/emnlp/emnlp2025.html#WangJLL25 streams/conf/emnlp Yueh-Han Chen Guy Davidson Brenden M. Lake SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/75a5df8d390c51d6aebfa2accb3f4911-Abstract-Datasets_and_Benchmarks_Track.html conf/nips/2025 db/conf/nips/neurips2025.html#ChenDL25

Hanna M. Dettki Brenden M. Lake Charley M. Wu Bob Rehder Do Large Language Models Reason Causally Like Us? Even Better? 2025 February abs/2502.10215 CoRR https://doi.org/10.48550/arXiv.2502.10215 db/journals/corr/corr2502.html#abs-2502-10215 streams/journals/corr

Wentao Wang Guangyuan Jiang Tal Linzen Brenden M. Lake Rapid Word Learning Through Meta In-Context Learning. 2025 February abs/2502.14791 CoRR https://doi.org/10.48550/arXiv.2502.14791 db/journals/corr/corr2502.html#abs-2502-14791 streams/journals/corr

Cheng Tang Brenden M. Lake Mehrdad Jazayeri An explainable transformer circuit for compositional generalization. 2025 February abs/2502.15801 CoRR https://doi.org/10.48550/arXiv.2502.15801 db/journals/corr/corr2502.html#abs-2502-15801 streams/journals/corr

Guy Davidson Todd M. Gureckis Brenden M. Lake Adina Williams Do different prompting methods yield a common task representation in language models? 2025 May abs/2505.12075 CoRR https://doi.org/10.48550/arXiv.2505.12075 db/journals/corr/corr2505.html#abs-2505-12075 streams/journals/corr

Yueh-Han Chen Guy Davidson Brenden M. Lake SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. 2025 May abs/2505.21828 CoRR https://doi.org/10.48550/arXiv.2505.21828 db/journals/corr/corr2505.html#abs-2505-21828 streams/journals/corr

Wai Keen Vong Brenden M. Lake On the robustness of modeling grounded word learning through a child's egocentric input. 2025 July abs/2507.14749 CoRR https://doi.org/10.48550/arXiv.2507.14749 db/journals/corr/corr2507.html#abs-2507-14749 streams/journals/corr

Thomas L. Griffiths 0001 Brenden M. Lake R. Thomas McCoy Ellie Pavlick Taylor W. Webb Whither symbols in the era of advanced neural networks? 2025 August abs/2508.05776 CoRR https://doi.org/10.48550/arXiv.2508.05776 db/journals/corr/corr2508.html#abs-2508-05776 streams/journals/corr

A. Emin Orhan Brenden M. Lake Learning high-level visual representations from a child's perspective without strong inductive biases. 271-283 2024 6 Nat. Mac. Intell. 3 https://doi.org/10.1038/s42256-024-00802-0 db/journals/natmi/natmi6.html#OrhanL24 streams/journals/natmi

Sreejan Kumar Raja Marjieh Byron Zhang Declan Campbell Michael Y. Hu Umang Bhatt Brenden M. Lake Tom Griffiths 0001 Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. 2024 CogSci https://escholarship.org/uc/item/0k26s3b7 conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#KumarMZCHBL024 Solim LeGris Brenden M. Lake Todd M. Gureckis Predicting Insight during Physical Reasoning. 2024 CogSci https://escholarship.org/uc/item/1rn5v7pj conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#LeGrisLG24 Cara Su-Yi Leong Brenden M. Lake Prompting invokes expert-like downward shifts in GPT-4V's conceptual hierarchies. 2024 CogSci https://escholarship.org/uc/item/5b132892 conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#LeongL24 Wenjie Li Shannon C. Yasuda Moira R. Dillon Brenden M. Lake An Infant-Cognition Inspired Machine Benchmark for Identifying Agency, Affiliation, Belief, and Intention. 2024 CogSci https://escholarship.org/uc/item/5ft9x576 conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#LiYDL24 Kexin Luo Bei Zhang Yajie Xiao Brenden M. Lake Finding Unsupervised Alignment of Conceptual Systems in Image-Word Representations. 2024 CogSci https://escholarship.org/uc/item/7dz6b64q conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#LuoZXL24 A. Emin Orhan Wentao Wang Alex N. Wang Mengye Ren Brenden M. Lake Self-supervised learning of video representations from a child's perspective. 2024 CogSci https://escholarship.org/uc/item/2bv9d05q conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#OrhanWWRL24 Yulu Qin Wentao Wang Brenden M. Lake A systematic investigation of learnability from single child linguistic input. 2024 CogSci https://escholarship.org/uc/item/9986685c conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#QinWL24 John P. Spencer Brenden M. Lake Raul Grieben Gregor Schöner Mariya Toneva Gina R. Kuperberg Is Deep Learning the Answer for Understanding Human Cognitive Dynamics? 2024 CogSci https://escholarship.org/uc/item/6pd2c3r5 conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#SpencerLGSTK24 Yanli Zhou Brenden M. Lake Adina Williams Compositional learning of functions in humans and machines. 2024 CogSci https://escholarship.org/uc/item/1kg1p6sr conf/cogsci/2024 db/conf/cogsci/cogsci2024.html#ZhouLW24 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. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/ed99503856b2ba85092e5413add65d86-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#LeporiTVSLP24

A. Emin Orhan Wentao Wang Alex N. Wang Mengye Ren Brenden M. Lake Self-supervised learning of video representations from a child's perspective. 2024 abs/2402.00300 CoRR https://doi.org/10.48550/arXiv.2402.00300 db/journals/corr/corr2402.html#abs-2402-00300

Sreejan Kumar Raja Marjieh Byron Zhang Declan Campbell Michael Y. Hu Umang Bhatt Brenden M. Lake Thomas L. Griffiths 0001 Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. 2024 abs/2402.03618 CoRR https://doi.org/10.48550/arXiv.2402.03618 db/journals/corr/corr2402.html#abs-2402-03618

Yulu Qin Wentao Wang Brenden M. Lake A systematic investigation of learnability from single child linguistic input. 2024 abs/2402.07899 CoRR https://doi.org/10.48550/arXiv.2402.07899 db/journals/corr/corr2402.html#abs-2402-07899

Yanli Zhou Brenden M. Lake Adina Williams Compositional learning of functions in humans and machines. 2024 abs/2403.12201 CoRR https://doi.org/10.48550/arXiv.2403.12201 db/journals/corr/corr2403.html#abs-2403-12201

Ryan Teehan Brenden M. Lake Mengye Ren CoLLEGe: Concept Embedding Generation for Large Language Models. 2024 abs/2403.15362 CoRR https://doi.org/10.48550/arXiv.2403.15362 db/journals/corr/corr2403.html#abs-2403-15362

Guy Davidson Graham Todd Julian Togelius Todd M. Gureckis Brenden M. Lake Goals as Reward-Producing Programs. 2024 abs/2405.13242 CoRR https://doi.org/10.48550/arXiv.2405.13242 db/journals/corr/corr2405.html#abs-2405-13242

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. 2024 abs/2406.15955 CoRR https://doi.org/10.48550/arXiv.2406.15955 db/journals/corr/corr2406.html#abs-2406-15955

Solim LeGris Wai Keen Vong Brenden M. Lake Todd M. Gureckis H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark. 2024 abs/2409.01374 CoRR https://doi.org/10.48550/arXiv.2409.01374 db/journals/corr/corr2409.html#abs-2409-01374 streams/journals/corr

Kazuki Irie Brenden M. Lake Neural networks that overcome classic challenges through practice. 2024 abs/2410.10596 CoRR https://doi.org/10.48550/arXiv.2410.10596 db/journals/corr/corr2410.html#abs-2410-10596 streams/journals/corr

Brenden M. Lake Marco Baroni Human-like systematic generalization through a meta-learning neural network. 115-121 2023 623 Nat. 7985 https://doi.org/10.1038/s41586-023-06668-3 db/journals/nature/nature623.html#LakeB23

A. Emin Orhan Brenden M. Lake What can generic neural networks learn from a child's visual experience? 2023 abs/2305.15372 CoRR https://doi.org/10.48550/arXiv.2305.15372 db/journals/corr/corr2305.html#abs-2305-15372

Yanli Zhou Reuben Feinman Brenden M. Lake Compositional diversity in visual concept learning. 2023 abs/2305.19374 CoRR https://doi.org/10.48550/arXiv.2305.19374 db/journals/corr/corr2305.html#abs-2305-19374

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. 2023 abs/2310.09612 CoRR https://doi.org/10.48550/arXiv.2310.09612 db/journals/corr/corr2310.html#abs-2310-09612

Wai Keen Vong Brenden M. Lake Cross-Situational Word Learning With Multimodal Neural Networks. 2022 46 Cogn. Sci. 4 https://doi.org/10.1111/cogs.13122 https://www.wikidata.org/entity/Q114930429 db/journals/cogsci/cogsci46.html#VongL22

Guy Davidson Todd M. Gureckis Brenden M. Lake Creativity, Compositionality, and Common Sense in Human Goal Generation. 2022 CogSci https://escholarship.org/uc/item/18x3h636 conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#DavidsonGL22 Itay Itzhak Koustuv Sinha Brenden M. Lake Adina Williams Dieuwke Hupkes Evaluating locality in NMT models. 2022 CogSci https://escholarship.org/uc/item/3986c986 conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#ItzhakSLWH22 Laura Ruis Brenden M. Lake Improving Systematic Generalization Through Modularity and Augmentation. 2022 CogSci https://escholarship.org/uc/item/3fc1g3cx conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#RuisL22 Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. 2022 CogSci https://escholarship.org/uc/item/6hj739kb conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#TartagliniVL22 Wai Keen Vong Brenden M. Lake Categorising images by generating natural language rules. 2022 CogSci https://escholarship.org/uc/item/39f6q6hc conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#VongL22

Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. 2022 abs/2202.08340 CoRR https://arxiv.org/abs/2202.08340 db/journals/corr/corr2202.html#abs-2202-08340

Laura Ruis Brenden M. Lake Improving Systematic Generalization Through Modularity and Augmentation. 2022 abs/2202.10745 CoRR https://arxiv.org/abs/2202.10745 db/journals/corr/corr2202.html#abs-2202-10745

Guy Davidson Brenden M. Lake Examining Infant Relation Categorization Through Deep Neural Networks. 2021 CogSci https://escholarship.org/uc/item/8sm6b1b4 conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#DavidsonL21 Aysja Johnson Wai Keen Vong Brenden M. Lake Todd M. Gureckis Fast and Flexible: Human program induction in abstract reasoning tasks. 2021 CogSci https://escholarship.org/uc/item/6qr876zk conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#JohnsonVLG21 Eliza Kosoy Masha Belyi Charlie Snell Brenden M. Lake Josh Tenenbaum 0001 Alison Gopnik The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? 2021 CogSci https://escholarship.org/uc/item/0n09g2ck conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#KosoyBSL0G21 Gala Stojnic Kanishk Gandhi Brenden M. Lake Moira R. Dillon Evaluating infants' reasoning about agents using the Baby Intuitions Benchmark (BIB). 2021 CogSci https://escholarship.org/uc/item/3kh4d1z9 conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#StojnicGLD21 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. 2021 CogSci https://escholarship.org/uc/item/6tm8664n conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#TartagliniVL21 Ziyun Wang Brenden M. Lake Modeling Question Asking Using Neural Program Generation. 2021 CogSci https://escholarship.org/uc/item/40558107 conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#WangL21 Reuben Feinman Brenden M. Lake Learning Task-General Representations with Generative Neuro-Symbolic Modeling. 2021 ICLR https://openreview.net/forum?id=qzBUIzq5XR2 conf/iclr/2021 db/conf/iclr/iclr2021.html#FeinmanL21 Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari Morcos Brenden M. Lake CURI: A Benchmark for Productive Concept Learning Under Uncertainty. 10519-10529 2021 ICML http://proceedings.mlr.press/v139/vedantam21a.html conf/icml/2021 db/conf/icml/icml2021.html#VedantamSNML21 Kanishk Gandhi Gala Stojnic Brenden M. Lake Moira R. Dillon Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. 9963-9976 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/525b8410cc8612283c9ecaf9a319f8ed-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#GandhiSLD21 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. 25192-25204 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/d3e2e8f631bd9336ed25b8162aef8782-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#NyeTTL21

Kanishk Gandhi Gala Stojnic Brenden M. Lake Moira R. Dillon Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. 2021 abs/2102.11938 CoRR https://arxiv.org/abs/2102.11938 db/journals/corr/corr2102.html#abs-2102-11938

Aysja Johnson Wai Keen Vong Brenden M. Lake Todd M. Gureckis Fast and flexible: Human program induction in abstract reasoning tasks. 2021 abs/2103.05823 CoRR https://arxiv.org/abs/2103.05823 db/journals/corr/corr2103.html#abs-2103-05823

Yanli Zhou Brenden M. Lake Flexible Compositional Learning of Structured Visual Concepts. 2021 abs/2105.09848 CoRR https://arxiv.org/abs/2105.09848 db/journals/corr/corr2105.html#abs-2105-09848

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. 2021 abs/2107.02794 CoRR https://arxiv.org/abs/2107.02794 db/journals/corr/corr2107.html#abs-2107-02794

Guy Davidson Brenden M. Lake Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. 2020 CogSci https://escholarship.org/uc/item/36c0g2mz conf/cogsci/2020 db/conf/cogsci/cogsci2020.html#DavidsonL20 Reuben Feinman Brenden M. Lake Generating new concepts with hybrid neuro-symbolic models. 2020 CogSci https://escholarship.org/uc/item/6079r2br conf/cogsci/2020 db/conf/cogsci/cogsci2020.html#FeinmanL20 Arihant Jain Brenden M. Lake Todd M. Gureckis Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. 2020 CogSci https://escholarship.org/uc/item/54q7286r conf/cogsci/2020 db/conf/cogsci/cogsci2020.html#JainLG20 Wai Keen Vong Brenden M. Lake Learning word-referent mappings and concepts from raw inputs. 2020 CogSci https://escholarship.org/uc/item/99s3t8pv conf/cogsci/2020 db/conf/cogsci/cogsci2020.html#VongL20 Kanishk Gandhi Brenden M. Lake Mutual exclusivity as a challenge for deep neural networks. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/a378383b89e6719e15cd1aa45478627c-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#GandhiL20 Maxwell I. Nye Armando Solar-Lezama Josh Tenenbaum 0001 Brenden M. Lake Learning Compositional Rules via Neural Program Synthesis. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/7a685d9edd95508471a9d3d6fcace432-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#NyeS0L20 A. Emin Orhan Vaibhav V. Gupta Brenden M. Lake Self-supervised learning through the eyes of a child. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/7183145a2a3e0ce2b68cd3735186b1d5-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#OrhanGL20 Laura Ruis Jacob Andreas Marco Baroni Diane Bouchacourt Brenden M. Lake A Benchmark for Systematic Generalization in Grounded Language Understanding. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/e5a90182cc81e12ab5e72d66e0b46fe3-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#RuisABBL20

Guy Davidson Brenden M. Lake Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. 2020 abs/2002.06703 CoRR https://arxiv.org/abs/2002.06703 db/journals/corr/corr2002.html#abs-2002-06703

Laura Ruis Jacob Andreas Marco Baroni Diane Bouchacourt Brenden M. Lake A Benchmark for Systematic Generalization in Grounded Language Understanding. 2020 abs/2003.05161 CoRR https://arxiv.org/abs/2003.05161 db/journals/corr/corr2003.html#abs-2003-05161

Maxwell I. Nye Armando Solar-Lezama Joshua B. Tenenbaum Brenden M. Lake Learning Compositional Rules via Neural Program Synthesis. 2020 abs/2003.05562 CoRR https://arxiv.org/abs/2003.05562 db/journals/corr/corr2003.html#abs-2003-05562

Wai Keen Vong Brenden M. Lake Learning word-referent mappings and concepts from raw inputs. 2020 abs/2003.05573 CoRR https://arxiv.org/abs/2003.05573 db/journals/corr/corr2003.html#abs-2003-05573

Reuben Feinman Brenden M. Lake Generating new concepts with hybrid neuro-symbolic models. 2020 abs/2003.08978 CoRR https://arxiv.org/abs/2003.08978 db/journals/corr/corr2003.html#abs-2003-08978

Reuben Feinman Brenden M. Lake Learning Task-General Representations with Generative Neuro-Symbolic Modeling. 2020 abs/2006.14448 CoRR https://arxiv.org/abs/2006.14448 db/journals/corr/corr2006.html#abs-2006-14448

A. Emin Orhan Vaibhav V. Gupta Brenden M. Lake Self-supervised learning through the eyes of a child. 2020 abs/2007.16189 CoRR https://arxiv.org/abs/2007.16189 db/journals/corr/corr2007.html#abs-2007-16189

Brenden M. Lake Gregory L. Murphy Word meaning in minds and machines. 2020 abs/2008.01766 CoRR https://arxiv.org/abs/2008.01766 db/journals/corr/corr2008.html#abs-2008-01766

Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari Morcos Brenden M. Lake CURI: A Benchmark for Productive Concept Learning Under Uncertainty. 2020 abs/2010.02855 CoRR https://arxiv.org/abs/2010.02855 db/journals/corr/corr2010.html#abs-2010-02855

Brenden M. Lake Tal Linzen Marco Baroni Human few-shot learning of compositional instructions. 611-617 2019 CogSci https://escholarship.org/uc/item/5vr9p4ks conf/cogsci/2019 db/conf/cogsci/cogsci2019.html#LakeLB19 Anselm Rothe Brenden M. Lake Todd M. Gureckis Asking goal-oriented questions and learning from answers. 981-986 2019 CogSci https://escholarship.org/uc/item/04q6z1mq conf/cogsci/2019 db/conf/cogsci/cogsci2019.html#RotheLG19 Reuben Feinman Brenden M. Lake Learning a smooth kernel regularizer for convolutional neural networks. 1710-1716 2019 CogSci https://escholarship.org/uc/item/63c6q8p9 conf/cogsci/2019 db/conf/cogsci/cogsci2019.html#FeinmanL19 Brenden M. Lake Compositional generalization through meta sequence-to-sequence learning. 9788-9798 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/f4d0e2e7fc057a58f7ca4a391f01940a-Abstract.html http://papers.nips.cc/paper/9172-compositional-generalization-through-meta-sequence-to-sequence-learning conf/nips/2019 db/conf/nips/nips2019.html#Lake19

Brenden M. Lake Tal Linzen Marco Baroni Human few-shot learning of compositional instructions. 2019 abs/1901.04587 CoRR http://arxiv.org/abs/1901.04587 db/journals/corr/corr1901.html#abs-1901-04587

Brenden M. Lake Ruslan Salakhutdinov Joshua B. Tenenbaum The Omniglot Challenge: A 3-Year Progress Report. 2019 abs/1902.03477 CoRR http://arxiv.org/abs/1902.03477 db/journals/corr/corr1902.html#abs-1902-03477

Reuben Feinman Brenden M. Lake Learning a smooth kernel regularizer for convolutional neural networks. 2019 abs/1903.01882 CoRR http://arxiv.org/abs/1903.01882 db/journals/corr/corr1903.html#abs-1903-01882

Brenden M. Lake Steven T. Piantadosi People infer recursive visual concepts from just a few examples. 2019 abs/1904.08034 CoRR http://arxiv.org/abs/1904.08034 db/journals/corr/corr1904.html#abs-1904-08034

Brenden M. Lake Compositional generalization through meta sequence-to-sequence learning. 2019 abs/1906.05381 CoRR http://arxiv.org/abs/1906.05381 db/journals/corr/corr1906.html#abs-1906-05381

A. Emin Orhan Brenden M. Lake Improving the robustness of ImageNet classifiers using elements of human visual cognition. 2019 abs/1906.08416 CoRR http://arxiv.org/abs/1906.08416 db/journals/corr/corr1906.html#abs-1906-08416

Kanishk Gandhi Brenden M. Lake Mutual exclusivity as a challenge for neural networks. 2019 abs/1906.10197 CoRR http://arxiv.org/abs/1906.10197 db/journals/corr/corr1906.html#abs-1906-10197

Ziyun Wang Brenden M. Lake Modeling question asking using neural program generation. 2019 abs/1907.09899 CoRR http://arxiv.org/abs/1907.09899 db/journals/corr/corr1907.html#abs-1907-09899

Reuben Feinman Brenden M. Lake Learning Inductive Biases with Simple Neural Networks. 2018 CogSci https://escholarship.org/uc/item/4h95f0r8 conf/cogsci/2018 db/conf/cogsci/cogsci2018.html#FeinmanL18 João Loula Marco Baroni Brenden M. Lake Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. 108-114 2018 BlackboxNLP@EMNLP https://doi.org/10.18653/v1/w18-5413 https://aclanthology.org/W18-5413/ conf/emnlp/2018blackbox db/conf/emnlp/blackbox2018.html#LoulaBL18 Brenden M. Lake Marco Baroni Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks. 2879-2888 2018 ICML http://proceedings.mlr.press/v80/lake18a.html conf/icml/2018 db/conf/icml/icml2018.html#LakeB18

Reuben Feinman Brenden M. Lake Learning Inductive Biases with Simple Neural Networks. 2018 abs/1802.02745 CoRR http://arxiv.org/abs/1802.02745 db/journals/corr/corr1802.html#abs-1802-02745

João Loula Marco Baroni Brenden M. Lake Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. 2018 abs/1807.07545 CoRR http://arxiv.org/abs/1807.07545 db/journals/corr/corr1807.html#abs-1807-07545

Eliza Kosoy Brenden M. Lake Josh Tenenbaum 0001 One-shot Learning and Classification in Children. 2017 CogSci https://escholarship.org/uc/item/9384z1mf conf/cogsci/2017 db/conf/cogsci/cogsci2017.html#KosoyLT17 Anselm Rothe Brenden M. Lake Todd M. Gureckis Progress in building a machine that can ask interesting and informative questions. 2017 CogSci https://escholarship.org/uc/item/53v803hh conf/cogsci/2017 db/conf/cogsci/cogsci2017.html#RotheLG17 Anselm Rothe Brenden M. Lake Todd M. Gureckis Question Asking as Program Generation. 1046-1055 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/24681928425f5a9133504de568f5f6df-Abstract.html http://papers.nips.cc/paper/6705-question-asking-as-program-generation conf/nips/2017 db/conf/nips/nips2017.html#RotheLG17

Brenden M. Lake Marco Baroni Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. 2017 abs/1711.00350 CoRR http://arxiv.org/abs/1711.00350 db/journals/corr/corr1711.html#abs-1711-00350

Anselm Rothe Brenden M. Lake Todd M. Gureckis Question Asking as Program Generation. 2017 abs/1711.06351 CoRR http://arxiv.org/abs/1711.06351 db/journals/corr/corr1711.html#abs-1711-06351

Alexander Cohen Brenden M. Lake Searching large hypothesis spaces by asking questions. 2016 CogSci https://escholarship.org/uc/item/0dz4648h conf/cogsci/2016 db/conf/cogsci/cogsci2016.html#CohenL16 Anselm Rothe Brenden M. Lake Todd M. Gureckis Asking and evaluating natural language questions. 2016 CogSci https://escholarship.org/uc/item/4wx34357 conf/cogsci/2016 db/conf/cogsci/cogsci2016.html#RotheLG16

Brenden M. Lake Tomer D. Ullman Joshua B. Tenenbaum Samuel J. Gershman Building Machines That Learn and Think Like People. 2016 abs/1604.00289 CoRR http://arxiv.org/abs/1604.00289 db/journals/corr/corr1604.html#LakeUTG16

Brenden M. Lake Neil D. Lawrence Joshua B. Tenenbaum The Emergence of Organizing Structure in Conceptual Representation. 2016 abs/1611.09384 CoRR http://arxiv.org/abs/1611.09384 db/journals/corr/corr1611.html#LakeLT16

Brenden M. Lake Wojciech Zaremba Rob Fergus Todd M. Gureckis Deep Neural Networks Predict Category Typicality Ratings for Images. 2015 CogSci https://escholarship.org/uc/item/4mv9c98f conf/cogsci/2015 db/conf/cogsci/cogsci2015.html#LakeZFG15 Anselm Rothe Brenden M. Lake Todd M. Gureckis Asking useful questions: Active learning with rich queries. 2015 CogSci https://escholarship.org/uc/item/7404618f conf/cogsci/2015 db/conf/cogsci/cogsci2015.html#RotheLG15 Mathew Monfort Brenden M. Lake Brian D. Ziebart Patrick Lucey Joshua B. Tenenbaum Softstar: Heuristic-Guided Probabilistic Inference. 2764-2772 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/ed4227734ed75d343320b6a5fd16ce57-Abstract.html http://papers.nips.cc/paper/5889-softstar-heuristic-guided-probabilistic-inference conf/nips/2015 db/conf/nips/nips2015.html#MonfortLLZLT15 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. 2014 CogSci https://escholarship.org/uc/item/26n229fs conf/cogsci/2014 db/conf/cogsci/cogsci2014.html#ChanMLG14 Brenden M. Lake Chia-ying Lee James R. Glass Joshua B. Tenenbaum One-shot learning of generative speech concepts. 2014 CogSci https://escholarship.org/uc/item/3xf2n3vc conf/cogsci/2014 db/conf/cogsci/cogsci2014.html#LakeLGT14 Brenden M. Lake Josh Tenenbaum 0001 Computational Creativity: Generating new objects with a hierarchical Bayesian model. 2014 CogSci https://escholarship.org/uc/item/4v21m259 conf/cogsci/2014 db/conf/cogsci/cogsci2014.html#LakeT14 Brenden M. Lake Ruslan Salakhutdinov Joshua B. Tenenbaum One-shot learning by inverting a compositional causal process. 2526-2534 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/52292e0c763fd027c6eba6b8f494d2eb-Abstract.html http://papers.nips.cc/paper/5128-one-shot-learning-by-inverting-a-compositional-causal-process conf/nips/2013 db/conf/nips/nips2013.html#LakeST13 Brenden M. Lake Ruslan Salakhutdinov Joshua B. Tenenbaum Concept learning as motor program induction: A large-scale empirical study. 2012 CogSci https://escholarship.org/uc/item/0005t82w conf/cogsci/2012 db/conf/cogsci/cogsci2012.html#LakeST12 Brenden M. Lake James L. McClelland Estimating the strength of unlabeled information during semi-supervised learning. 2011 CogSci https://mindmodeling.org/cogsci2011/papers/0323/index.html conf/cogsci/2011 db/conf/cogsci/cogsci2011.html#LakeM11 Brenden M. Lake Ruslan Salakhutdinov Jason Gross Joshua B. Tenenbaum One shot learning of simple visual concepts. 2011 CogSci https://mindmodeling.org/cogsci2011/papers/0601/index.html conf/cogsci/2011 db/conf/cogsci/cogsci2011.html#LakeSGT11

Brenden M. Lake Gautam K. Vallabha James L. McClelland Modeling Unsupervised Perceptual Category Learning. 35-43 2009 1 IEEE Trans. Auton. Ment. Dev. 1 https://doi.org/10.1109/TAMD.2009.2021703 db/journals/tamd/tamd1.html#LakeVM09

Jacob Andreas Marco Baroni Masha Belyi Umang Bhatt Diane Bouchacourt Declan Campbell Patricia Angie Chan Yueh-Han Chen Junyi Chu Alexander Cohen Cédric Colas Guy Davidson Hanna M. Dettki Moira R. Dillon Reuben Feinman Rob Fergus Sheridan Feucht Kanishk Gandhi Samuel GershmanSamuel J. Gershman James R. Glass Alison Gopnik Raul Grieben Thomas L. Griffiths 0001Tom Griffiths 0001 Jason Gross Vaibhav V. Gupta Todd M. Gureckis Michael Y. Hu Dieuwke Hupkes Kazuki Irie Itay Itzhak Akshay K. Jagadish Arihant Jain Mehrdad Jazayeri Guangyuan Jiang Aysja Johnson Eliza Kosoy Sreejan Kumar Gina R. Kuperberg Neil D. Lawrence Chia-ying Lee Solim LeGris Cara Su-Yi Leong Michael A. Lepori Wenjie Li Tal Linzen João Loula Charles Lovering Patrick Lucey Kexin Luo Raja Marjieh Douglas Markant James L. McClelland Tom McCoy 0001R. Thomas McCoy Mathew Monfort Ari S. MorcosAri Morcos Gregory Murphy 0001Gregory L. Murphy Maximilian Nickel Maxwell I. Nye A. Emin Orhan Ellie Pavlick Steve PiantadosiSteven T. Piantadosi Yulu Qin Sunayana Rane Bob Rehder Mengye Ren Anselm Rothe Laura Ruis Ruslan Salakhutdinov Gregor Schöner Simon Schug Thomas Serre Koustuv Sinha Charlie Snell Armando Solar-Lezama John P. Spencer Gala Stojnic Arthur Szlam Cheng Tang Alexa R. Tartaglini Ryan Teehan Joshua B. TenenbaumJosh Tenenbaum 0001 Michael Henry Tessler Graham Todd Julian Togelius Mariya Toneva Tomer D. Ullman Gautam K. Vallabha Ramakrishna Vedantam Wai Keen Vong Alex N. Wang Wentao Wang Ziyun Wang Taylor W. Webb Adina Williams Charley M. Wu Yajie Xiao Shannon YasudaShannon C. Yasuda Wojciech Zaremba Phoebe Zeng Bei Zhang Byron Zhang Liyi Zhang Yanli Zhou Brian D. Ziebart