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03/22/2023
Human Uncertainty in Concept-Based AI Systems
Placing a human in the loop may abate the risks of deploying AI systems ...
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02/03/2023
Around the world in 60 words: A generative vocabulary test for online research
Conducting experiments with diverse participants in their native languag...
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02/02/2023
What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models
Understanding the extent to which the perceptual world can be recovered ...
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01/27/2023
Alignment with human representations supports robust few-shot learning
Should we care whether AI systems have representations of the world that...
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11/02/2022
On the Informativeness of Supervision Signals
Learning transferable representations by training a classifier is a well...
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09/29/2022
Analyzing Diffusion as Serial Reproduction
Diffusion models are a class of generative models that learn to synthesi...
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06/08/2022
Words are all you need? Capturing human sensory similarity with textual descriptors
Recent advances in multimodal training use textual descriptions to signi...
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02/09/2022
Predicting Human Similarity Judgments Using Large Language Models
Similarity judgments provide a well-established method for accessing men...
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02/09/2022
Can Humans Do Less-Than-One-Shot Learning?
Being able to learn from small amounts of data is a key characteristic o...
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02/15/2021
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
Increasingly large datasets are rapidly driving up the computational cos...
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10/31/2020
Optimal 1-NN Prototypes for Pathological Geometries
Using prototype methods to reduce the size of training datasets can dras...
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09/19/2020
SecDD: Efficient and Secure Method for Remotely Training Neural Networks
We leverage what are typically considered the worst qualities of deep le...
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09/17/2020
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples
Deep neural networks require large training sets but suffer from high co...
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10/06/2019
Improving Dataset Distillation
Dataset distillation is a method for reducing dataset sizes: the goal is...
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04/10/2019