Using Multimodal Deep Neural Networks to Disentangle Language from Visual Aesthetics.
CoRR, 2024
Training the Untrainable: Introducing Inductive Bias via Representational Alignment.
CoRR, 2024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning in temporally structured environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multitask Learning Via Interleaving: A Neural Network Investigation.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.
CoRR, 2021
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
EVA: Exploratory Learning with Virtual Companions Sharing Attention and Context.
Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016