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2020 – today
- 2024
[j2]Corinna Cortes, Giulia DeSalvo
, Mehryar Mohri:
Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. 92(2): 277-315 (2024)- [i8]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 abs/2401.13160 (2024) - [i7]Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo:
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR abs/2405.18754 (2024) - 2023
- [c18]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: 22266-22277 - [c17]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. ICLR 2023 - [i6]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. CoRR abs/2301.12052 (2023) - [i5]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 abs/2309.16139 (2023) - 2022
- [c16]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: 8214-8259 - 2021
- [c15]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. NeurIPS 2021: 11933-11944 - [c14]Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh:
Learning with Labeling Induced Abstentions. NeurIPS 2021: 12576-12586 - [c13]Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune:
Online Active Learning with Surrogate Loss Functions. NeurIPS 2021: 22877-22889 - [i4]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. CoRR abs/2107.14263 (2021) - 2020
- [c12]Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh:
Understanding the Effects of Batching in Online Active Learning. AISTATS 2020: 3482-3492 - [c11]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. ICML 2020: 2144-2153 - [c10]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Online Learning with Dependent Stochastic Feedback Graphs. ICML 2020: 2154-2163 - [i3]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. CoRR abs/2002.07348 (2020)
2010 – 2019
- 2019
- [c9]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Region-Based Active Learning. AISTATS 2019: 2801-2809 - [c8]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Sleeping Experts and Feedback Graphs. ICML 2019: 1370-1378 - [c7]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile:
Active Learning with Disagreement Graphs. ICML 2019: 1379-1387 - 2018
- [c6]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Abstention. ICML 2018: 1067-1075 - 2017
- [j1]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: 185:1-185:52 (2017) - [c5]Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar:
Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization. ICLR (Poster) 2017 - [i2]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang:
On-line Learning with Abstention. CoRR abs/1703.03478 (2017) - 2016
- [c4]Giulia DeSalvo, Mehryar Mohri:
Random Composite Forests. AAAI 2016: 1540-1546 - [c3]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Learning with Rejection. ALT 2016: 67-82 - [c2]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Boosting with Abstention. NIPS 2016: 1660-1668 - [i1]Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar:
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits. CoRR abs/1603.06560 (2016) - 2015
- [c1]Giulia DeSalvo, Mehryar Mohri, Umar Syed:
Learning with Deep Cascades. ALT 2015: 254-269
Coauthor Index
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last updated on 2024-09-13 01:41 CEST by the dblp team
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