30 citations · 63 across the 10 of their papers we have counts for
3 papers · 1 filter
Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity
Maria Attarian, Brett D. Roads, Michael C. Mozer
Deep-learning vision models have shown intriguing similarities and differences with respect to human vision. We investigate how to bring machine visual representations into better…
State-Denoised Recurrent Neural Networks
Michael C. Mozer, Denis Kazakov, Robert V. Lindsey
Recurrent neural networks (RNNs) are difficult to train on sequence processing tasks, not only because input noise may be amplified through feedback, but also because any inaccurac…
Discrete Event, Continuous Time RNNs
Michael C. Mozer, Denis Kazakov, Robert V. Lindsey
We investigate recurrent neural network architectures for event-sequence processing. Event sequences, characterized by discrete observations stamped with continuous-valued times of…