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ORCIDGiovanni Zappella
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2020 – today
- 2024
[i26]Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella:
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need. CoRR abs/2406.03216 (2024)- [i25]Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang:
Cost-Effective Hallucination Detection for LLMs. CoRR abs/2407.21424 (2024) - 2023
- [c17]Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella:
PASHA: Efficient HPO and NAS with Progressive Resource Allocation. ICLR 2023 - [i24]Martin Wistuba, Martin Ferianc, Lukas Balles, Cédric Archambeau, Giovanni Zappella:
Renate: A Library for Real-World Continual Learning. CoRR abs/2304.12067 (2023) - [i23]Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella:
Continual Learning with Low Rank Adaptation. CoRR abs/2311.17601 (2023) - [i22]Lukas Balles, Cédric Archambeau, Giovanni Zappella:
A Negative Result on Gradient Matching for Selective Backprop. CoRR abs/2312.05021 (2023) - 2022
- [c16]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Continual Learning with Transformers for Image Classification. CVPR Workshops 2022: 3773-3780 - [c15]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Memory Efficient Continual Learning with Transformers. NeurIPS 2022 - [i21]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Cédric Archambeau:
Memory Efficient Continual Learning for Neural Text Classification. CoRR abs/2203.04640 (2022) - [i20]Lukas Balles, Giovanni Zappella, Cédric Archambeau:
Gradient-Matching Coresets for Rehearsal-Based Continual Learning. CoRR abs/2203.14544 (2022) - [i19]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Continual Learning with Transformers for Image Classification. CoRR abs/2206.14085 (2022) - [i18]Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella:
PASHA: Efficient HPO with Progressive Resource Allocation. CoRR abs/2207.06940 (2022) - 2021
- [c14]Beyza Ermis, Giovanni Zappella, Cédric Archambeau:
Towards robust episodic meta-learning. UAI 2021: 1342-1351 - [i17]Giovanni Zappella, David Salinas, Cédric Archambeau:
A resource-efficient method for repeated HPO and NAS problems. CoRR abs/2103.16111 (2021) - [i16]Lukas Balles, Giovanni Zappella, Cédric Archambeau:
Gradient-matching coresets for continual learning. CoRR abs/2112.05025 (2021) - 2020
- [c13]Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella:
Learning to Rank in the Position Based Model with Bandit Feedback. CIKM 2020: 2405-2412 - [c12]Fabian Moerchen, Patrick Ernst, Giovanni Zappella:
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. CIKM 2020: 2661-2668 - [c11]Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner:
Linear bandits with Stochastic Delayed Feedback. ICML 2020: 9712-9721 - [i15]Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella:
Learning to Rank in the Position Based Model with Bandit Feedback. CoRR abs/2004.13106 (2020) - [i14]Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella:
A Linear Bandit for Seasonal Environments. CoRR abs/2004.13576 (2020) - [i13]Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel:
Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR abs/2012.08483 (2020)
2010 – 2019
- 2018
- [i12]Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner:
Contextual Bandits under Delayed Feedback. CoRR abs/1807.02089 (2018) - 2017
- [c10]Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue:
On Context-Dependent Clustering of Bandits. ICML 2017: 1253-1262 - 2016
- [i11]Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella:
Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. CoRR abs/1608.03544 (2016) - 2015
- [i10]Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella:
Data-Dependent Clustering in Exploration-Exploitation Algorithms. CoRR abs/1502.03473 (2015) - 2014
- [c9]Claudio Gentile, Shuai Li, Giovanni Zappella:
Online Clustering of Bandits. ICML 2014: 757-765 - [i9]Claudio Gentile, Shuai Li, Giovanni Zappella:
Online Clustering of Bandits. CoRR abs/1401.8257 (2014) - 2013
- [j1]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Random spanning trees and the prediction ofweighted graphs. J. Mach. Learn. Res. 14(1): 1251-1284 (2013) - [c8]Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani
, Adam Arvidsson, Elanor Colleoni:
Modelling political disaffection from Twitter data. WISDOM 2013: 3:1-3:9 - [c7]Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella:
A Gang of Bandits. NIPS 2013: 737-745 - [i8]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
A Linear Time Active Learning Algorithm for Link Classification. CoRR abs/1301.4767 (2013) - [i7]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
A Correlation Clustering Approach to Link Classification in Signed Networks. CoRR abs/1301.4769 (2013) - [i6]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Active Learning on Trees and Graphs. CoRR abs/1301.5112 (2013) - [i5]Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella:
See the Tree Through the Lines: The Shazoo Algorithm. CoRR abs/1301.5160 (2013) - [i4]Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, Monica Poletti:
Political Disaffection: a case study on the Italian Twitter community. CoRR abs/1301.6630 (2013) - [i3]Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella:
A Gang of Bandits. CoRR abs/1306.0811 (2013) - 2012
- [c6]Omar Ali, Giovanni Zappella, Tijl De Bie, Nello Cristianini:
An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. ICPRAM (2) 2012: 259-268 - [c5]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
A Linear Time Active Learning Algorithm for Link Classification. NIPS 2012: 1619-1627 - [c4]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
A Correlation Clustering Approach to Link Classification in Signed Networks. COLT 2012: 34.1-34.20 - [i2]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Random Spanning Trees and the Prediction of Weighted Graphs. CoRR abs/1212.5637 (2012) - 2011
- [c3]Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella:
See the Tree Through the Lines: The Shazoo Algorithm. NIPS 2011: 1584-1592 - [i1]Giovanni Zappella:
A Scalable Multiclass Algorithm for Node Classification. CoRR abs/1112.4344 (2011) - 2010
- [c2]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Active Learning on Trees and Graphs. COLT 2010: 320-332 - [c1]Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Random Spanning Trees and the Prediction of Weighted Graphs. ICML 2010: 175-182
Coauthor Index
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