Giulia DeSalvo

Orcid: 0009-0004-0967-2556

According to our database1, Giulia DeSalvo authored at least 25 papers between 2015 and 2024.

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Bibliography

2024
Theory and algorithms for learning with rejection in binary classification.
Ann. Math. Artif. Intell., April, 2024

GIST: Greedy Independent Set Thresholding for Diverse Data Summarization.
CoRR, 2024

SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection.
CoRR, 2024

2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.
CoRR, 2023

Leveraging Importance Weights in Subset Selection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


2022
Firebolt: Weak Supervision Under Weaker Assumptions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Online Active Learning with Surrogate Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Batch Active Learning at Scale.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Labeling Induced Abstentions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Online Learning with Dependent Stochastic Feedback Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Region-Based Active Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Effects of Batching in Online Active Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Active Learning with Disagreement Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Online Learning with Sleeping Experts and Feedback Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Region-Based Active Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Online Learning with Abstention.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.
J. Mach. Learn. Res., 2017

On-line Learning with Abstention.
CoRR, 2017

Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits.
CoRR, 2016

Boosting with Abstention.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning with Rejection.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Random Composite Forests.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning with Deep Cascades.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015


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