Giulia DeSalvo

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Theory and algorithms for learning with rejection in binary classification.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

Ann. Math. Artif. Intell., April, 2024

GIST: Greedy Independent Set Thresholding for Diverse Data Summarization.

Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo

CoRR, 2024

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

Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar

CoRR, 2024

2023

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

Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin

CoRR, 2023

Leveraging Importance Weights in Subset Selection.

Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Agile Modeling: From Concept to Classifier in Minutes.

Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Firebolt: Weak Supervision Under Weaker Assumptions.

Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Online Active Learning with Surrogate Loss Functions.

Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Batch Active Learning at Scale.

Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Labeling Induced Abstentions.

Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh

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.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Region-Based Active Learning.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Effects of Batching in Online Active Learning.

Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Active Learning with Disagreement Graphs.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile

Proceedings of the 36th International Conference on Machine Learning, 2019

Online Learning with Sleeping Experts and Feedback Graphs.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

Proceedings of the 36th International Conference on Machine Learning, 2019

Region-Based Active Learning.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Online Learning with Abstention.

Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

J. Mach. Learn. Res., 2017

On-line Learning with Abstention.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang

CoRR, 2017

Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

CoRR, 2016

Boosting with Abstention.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

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

Learning with Rejection.

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

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

Random Composite Forests.

Giulia DeSalvo, Mehryar Mohri

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning with Deep Cascades.

Giulia DeSalvo, Mehryar Mohri, Umar Syed

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015