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06/15/2023
ViP: A Differentially Private Foundation Model for Computer Vision
Artificial intelligence (AI) has seen a tremendous surge in capabilities...
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10/14/2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Personalized text generation has broad industrial applications, such as ...
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07/02/2022
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales
Free-text rationales aim to explain neural language model (LM) behavior ...
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04/27/2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
The practice of applying several local updates before aggregation across...
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01/06/2021
Modality-specific Distillation
Large neural networks are impractical to deploy on mobile devices due to...
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07/02/2020
Tilted Empirical Risk Minimization
Empirical risk minimization (ERM) is typically designed to perform well ...
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12/14/2018
On the Convergence of Federated Optimization in Heterogeneous Networks
The burgeoning field of federated learning involves training machine lea...
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05/30/2017
