Dan Yamins

Neural Comput., January, 2024

Unsupervised 3D Scene Representation Learning via Movable Object Inference.

[BibT_eX]

[DOI]

Honglin Chen

Wanhee Lee

Hong-Xing Yu

Rahul Mysore Venkatesh

Trans. Mach. Learn. Res., 2024

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences.

[BibT_eX]

[DOI]

CoRR, 2024

Explanatory models in neuroscience, Part 1: Taking mechanistic abstraction seriously.

[BibT_eX]

[DOI]

Rosa Cao

Cogn. Syst. Res., 2024

Explanatory models in neuroscience, Part 2: Functional intelligibility and the contravariance principle.

[BibT_eX]

[DOI]

Rosa Cao

Cogn. Syst. Res., 2024

2023

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation.

[BibT_eX]

[DOI]

PLoS Comput. Biol., October, 2023

Challenges in Evaluating Technological Interventions for Affect Regulation.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2023

Counterfactual World Modeling for Physical Dynamics Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Unifying (Machine) Vision via Counterfactual World Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are These the Same Apple? Comparing Images Based on Object Intrinsics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Measuring and Modeling Physical Intrinsic Motivation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Developmental Curiosity and Social Interaction in Virtual Agents.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Advancing Cognitive Science and AI with Cognitive-AI Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.

[BibT_eX]

[DOI]

Aran Nayebi

Neural Comput., 2022

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?

[BibT_eX]

[DOI]

Kenneth A. Norman

James J. DiCarlo

Dan Yamins

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing.

[BibT_eX]

[DOI]

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Unsupervised neural network models of the ventral visual stream.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2021

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion.

[BibT_eX]

[DOI]

CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

[BibT_eX]

[DOI]

CoRR, 2021

Explanatory models in neuroscience: Part 2 - constraint-based intelligibility.

[BibT_eX]

[DOI]

Rosa Cao

CoRR, 2021

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.

[BibT_eX]

[DOI]

CoRR, 2021

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks.

[BibT_eX]

[DOI]

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

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Conditional Negative Sampling for Contrastive Learning of Visual Representations.

[BibT_eX]

[DOI]

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

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.

[BibT_eX]

[DOI]

Surya Ganguli

Hidenori Tanaka

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

Predicting children's and adults' preferences in physical interactions via physics simulation.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Measuring and predicting variation in the interestingness of physical structures.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

[BibT_eX]

[DOI]

CoRR, 2020

On Mutual Information in Contrastive Learning for Visual Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Pruning neural networks without any data by iteratively conserving synaptic flow.

[BibT_eX]

[DOI]

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

Identifying Learning Rules From Neural Network Observables.

[BibT_eX]

[DOI]

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

Learning Physical Graph Representations from Visual Scenes.

[BibT_eX]

[DOI]

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

Visual Grounding of Learned Physical Models.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Two Routes to Scalable Credit Assignment without Weight Symmetry.

[BibT_eX]

[DOI]

Aran Nayebi

Surya Ganguli

Jonathan M. Bloom

Proceedings of the 37th International Conference on Machine Learning, 2020

Active World Model Learning with Progress Curiosity.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Flexible and Efficient Long-Range Planning Through Curious Exploration.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Unsupervised Learning From Video With Deep Neural Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning in Social Environments with Curious Neural Agents.

[BibT_eX]

[DOI]

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

2019

Unsupervised Learning from Video with Deep Neural Embeddings.

[BibT_eX]

[DOI]

Chengxu Zhuang

Alex Andonian

CoRR, 2019

Local Label Propagation for Large-Scale Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs.

[BibT_eX]

[DOI]

Jonathan Prescott-Roy

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

Local Aggregation for Unsupervised Learning of Visual Embeddings.

[BibT_eX]

[DOI]

Chengxu Zhuang

Alex Lin Zhai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning to Play with Intrinsically-Motivated Self-Aware Agents.

[BibT_eX]

[DOI]

CoRR, 2018

Common Object Representations for Visual Production and Recognition.

[BibT_eX]

[DOI]

Judith E. Fan

Cogn. Sci., 2018

Task-Driven Convolutional Recurrent Models of the Visual System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Flexible neural representation for physics prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Play With Intrinsically-Motivated, Self-Aware Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Modular Continual Learning in a Unified Visual Environment.

[BibT_eX]

[DOI]

Kevin T. Feigelis

Blue Sheffer

Proceedings of the 6th International Conference on Learning Representations, 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation.

[BibT_eX]

[DOI]

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

2017

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2017

A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment.

[BibT_eX]

[DOI]

Kevin T. Feigelis

CoRR, 2017

Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System.

[BibT_eX]

[DOI]

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

2015

Common object representations for visual recognition and production.

[BibT_eX]

[DOI]

Judith E. Fan

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

2014

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2014

Mapping core similarity among visual objects across image modalities.

[BibT_eX]

[DOI]

Judith E. Fan

James J. DiCarlo

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013

The Neural Representation Benchmark and its Evaluation on Brain and Machine

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms.

[BibT_eX]

[DOI]

James Bergstra

Dan Yamins

David D. Cox

Proceedings of the 12th Python in Science Conference, 2013

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream.

[BibT_eX]

[DOI]

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

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures.

[BibT_eX]

[DOI]

James Bergstra