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Found 5 papers, 3 papers with code
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
The main challenge in this estimation task is the potential confounding of treatment assignment with an individual's covariates in the training data, whereas during inference ICTE requires prediction on independently sampled treatments.
Gradient Coreset for Federated Learning
We conduct experiments using four real-world datasets and show that GCFL is (1) more compute and energy efficient than FL, (2) robust to various kinds of noise in both the feature space and labels, (3) preserves the privacy of the validation dataset, and (4) introduces a small communication overhead but achieves significant gains in performance, particularly in cases when the clients' data is noisy.
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
We follow a principled approach to address the above FRCS problems and develop a new federated learning method using the Shapley value concept from cooperative game theory.
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.
Data Augmentation for Personal Knowledge Base Population
Cold start knowledge base population (KBP) is the problem of populating a knowledge base from unstructured documents.
