Conwell, Colin

What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?

Conwell, C., Prince, J. S., Kay, K. N., Alvarez, G. A., & Konkle, T. (2022) · Nature Communications

Visual perception and processing mechanismsDomain Adaptation and Few-Shot Learning

Cited by 160

A large-scale examination of inductive biases shaping high-level visual representation in brains and machines

Conwell, C., Prince, J. S., Kay, K. N., Alvarez, G. A., & Konkle, T. (2024) · Nature Communications

Visual perception and processing mechanismsDomain Adaptation and Few-Shot Learning

Cited by 100

Testing Relational Understanding in Text-Guided Image Generation

Conwell, C., & Ullman, T. (2022) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 36

Intertemporal choice reflects value comparison rather than self-control: insights from confidence judgements

Bulley, A., Lempert, K. M., Conwell, C., Irish, M., & Schacter, D. L. (2022) · Philosophical Transactions of the Royal Society B

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 33

Universality of representation in biological and artificial neural networks

Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M., & Fedorenko, E. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10