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05/24/2023
HARD: Hard Augmentations for Robust Distillation
Knowledge distillation (KD) is a simple and successful method to transfe...
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10/20/2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Due to depth ambiguities and occlusions, lifting 2D poses to 3D is a hig...
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06/17/2022
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
The neural underpinning of the biological visual system is challenging t...
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07/29/2021
Towards robust vision by multi-task learning on monkey visual cortex
Deep neural networks set the state-of-the-art across many tasks in compu...
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10/22/2020
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
In recent years, artificial neural networks have achieved state-of-the-a...
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11/11/2019
Learning From Brains How to Regularize Machines
Despite impressive performance on numerous visual tasks, Convolutional N...
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09/27/2018
A rotation-equivariant convolutional neural network model of primary visual cortex
Classical models describe primary visual cortex (V1) as a filter bank of...
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11/14/2016
