James J. DiCarlo
Orcid: 0000-0002-1592-5896
According to our database1,
James J. DiCarlo
authored at least 31 papers
between 2008 and 2024.
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Bibliography
2024
How does the primate brain combine generative and discriminative computations in vision?
CoRR, 2024
2023
PLoS Comput. Biol., December, 2023
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.
Neural Comput., 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations.
CoRR, 2022
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
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.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Adversarially trained neural representations are already as robust as biological neural representations.
Proceedings of the International Conference on Machine Learning, 2022
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Proc. Natl. Acad. Sci. USA, 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs.
CoRR, 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition.
PLoS Comput. Biol., 2014
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014
2013
Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons.
PLoS Comput. Biol., 2013
Proceedings of the 1st International Conference on Learning Representations, 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream.
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
2011
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
2009
A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation.
PLoS Comput. Biol., 2009
How far can you get with a modern face recognition test set using only simple features?.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008