Giulia DeSalvo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Selective Sampling

Data Summarization

Subset Selection

Top Venues

Publications

Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. 92 (2) (2024)
Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR (2024)
Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR (2024)
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
Agile Modeling: From Concept to Classifier in Minutes. ICCV (2023)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. ICLR (2023)
Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR (2023)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. CoRR (2023)
Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang
Firebolt: Weak Supervision Under Weaker Assumptions. AISTATS (2022)
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
Batch Active Learning at Scale. CoRR (2021)
Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh
Learning with Labeling Induced Abstentions. NeurIPS (2021)
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
Batch Active Learning at Scale. NeurIPS (2021)
Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune
Online Active Learning with Surrogate Loss Functions. NeurIPS (2021)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
Online Learning with Dependent Stochastic Feedback Graphs. ICML (2020)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
Adaptive Region-Based Active Learning. CoRR (2020)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
Adaptive Region-Based Active Learning. ICML (2020)
Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh
Understanding the Effects of Batching in Online Active Learning. AISTATS (2020)
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile
Active Learning with Disagreement Graphs. ICML (2019)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
Region-Based Active Learning. AISTATS (2019)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
Online Learning with Sleeping Experts and Feedback Graphs. ICML (2019)
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
Online Learning with Abstention. ICML (2018)
Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. J. Mach. Learn. Res. 18 (2017)
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang
On-line Learning with Abstention. CoRR (2017)
Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization. ICLR (Poster) (2017)
Giulia DeSalvo, Mehryar Mohri
Random Composite Forests. AAAI (2016)
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
Learning with Rejection. ALT (2016)
Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits. CoRR (2016)
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
Boosting with Abstention. NIPS (2016)
Giulia DeSalvo, Mehryar Mohri, Umar Syed
Learning with Deep Cascades. ALT (2015)