Ilia Sucholutsky | DeepAI

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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 ...

7 Katherine M. Collins, et al. ∙

∙ 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...

2 Pol van Rijn, et al. ∙

∙ 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 ...

6 Raja Marjieh, et al. ∙

∙ 01/27/2023

Alignment with human representations supports robust few-shot learning

Should we care whether AI systems have representations of the world that...

12 Ilia Sucholutsky, et al. ∙

∙ 11/02/2022

On the Informativeness of Supervision Signals

Learning transferable representations by training a classifier is a well...

10 Ilia Sucholutsky, et al. ∙

∙ 09/29/2022

Analyzing Diffusion as Serial Reproduction

Diffusion models are a class of generative models that learn to synthesi...

4 Raja Marjieh, et al. ∙

∙ 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...

2 Raja Marjieh, et al. ∙

∙ 02/09/2022

Predicting Human Similarity Judgments Using Large Language Models

Similarity judgments provide a well-established method for accessing men...

6 Raja Marjieh, et al. ∙

∙ 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...

19 Maya Malaviya, et al. ∙

∙ 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...

6 Ilia Sucholutsky, et al. ∙

∙ 10/31/2020

Optimal 1-NN Prototypes for Pathological Geometries

Using prototype methods to reduce the size of training datasets can dras...

11 Ilia Sucholutsky, et al. ∙

∙ 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...

1 Ilia Sucholutsky, et al. ∙

∙ 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...

1 Ilia Sucholutsky, et al. ∙

∙ 10/06/2019

Improving Dataset Distillation

Dataset distillation is a method for reducing dataset sizes: the goal is...

46 Ilia Sucholutsky, et al. ∙

∙ 04/10/2019

Deep Learning for System Trace Restoration

Most real-world datasets, and particularly those collected from physical...

1 Ilia Sucholutsky, et al. ∙