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08/07/2023
Studying Large Language Model Generalization with Influence Functions
When trying to gain better visibility into a machine learning model in o...
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11/18/2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Designing networks capable of attaining better performance with an incre...
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07/11/2022
Exploring Length Generalization in Large Language Models
The ability to extrapolate from short problem instances to longer ones i...
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06/29/2022
Solving Quantitative Reasoning Problems with Language Models
Language models have achieved remarkable performance on a wide range of ...
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08/27/2021
Learning to Give Checkable Answers with Prover-Verifier Games
Our ability to know when to trust the decisions made by machine learning...
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08/05/2021
Learning to Elect
Voting systems have a wide range of applications including recommender s...
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11/03/2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Lipschitz constraints under L2 norm on deep neural networks are useful f...
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11/22/2018
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
In this work, we address the problem of musical timbre transfer, where t...
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11/13/2018
Sorting out Lipschitz function approximation
Training neural networks subject to a Lipschitz constraint is useful for...
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04/18/2018
