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Diego Antognini
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2020 – today
- 2024
- [j1]Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti:
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c16]Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar:
ESG Accountability Made Easy: DocQA at Your Service. AAAI 2024: 23814-23816 - [i24]Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang:
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR abs/2404.11500 (2024) - [i23]Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky:
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR abs/2405.17258 (2024) - 2023
- [c15]Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini:
pNLP-Mixer: an Efficient all-MLP Architecture for Language. ACL (industry) 2023: 53-60 - [c14]Francesco Fusco, Diego Antognini:
Extracting Text Representations for Terms and Phrases in Technical Domains. ACL (industry) 2023: 61-70 - [c13]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. EACL 2023: 375-384 - [i22]Francesco Fusco, Diego Antognini:
Extracting Text Representations for Terms and Phrases in Technical Domains. CoRR abs/2305.15867 (2023) - [i21]Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar:
ESG Accountability Made Easy: DocQA at Your Service. CoRR abs/2311.18481 (2023) - 2022
- [b1]Diego Antognini:
Textual Explanations and Critiques in Recommendation Systems. EPFL, Switzerland, 2022 - [c12]Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) 2022: 283-298 - [c11]Francesco Fusco
, Peter W. J. Staar, Diego Antognini:
Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) 2022: 1-8 - [i20]Diego Antognini, Boi Faltings:
Positive and Negative Critiquing for VAE-based Recommenders. CoRR abs/2204.02162 (2022) - [i19]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. CoRR abs/2205.02454 (2022) - [i18]Shuangqi Li, Diego Antognini, Boi Faltings:
Interlock-Free Multi-Aspect Rationalization for Text Classification. CoRR abs/2205.06756 (2022) - [i17]Diego Antognini:
Textual Explanations and Critiques in Recommendation Systems. CoRR abs/2205.07268 (2022) - [i16]Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. CoRR abs/2210.10586 (2022) - [i15]Francesco Fusco, Peter W. J. Staar, Diego Antognini:
Unsupervised Term Extraction for Highly Technical Domains. CoRR abs/2210.13118 (2022) - 2021
- [c10]Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Target Variables from Documents. AAAI 2021: 12507-12515 - [c9]Diego Antognini, Boi Faltings:
Rationalization through Concepts. ACL/IJCNLP (Findings) 2021: 761-775 - [c8]Diego Antognini, Claudiu Musat, Boi Faltings:
Interacting with Explanations through Critiquing. IJCAI 2021: 515-521 - [c7]Diego Antognini, Boi Faltings:
Fast Multi-Step Critiquing for VAE-based Recommender Systems. RecSys 2021: 209-219 - [c6]Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. Perspectives@RecSys 2021 - [c5]Diana Andreea Petrescu, Diego Antognini, Boi Faltings:
Multi-Step Critiquing User Interface for Recommender Systems. RecSys 2021: 760-763 - [c4]Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing fairness in classification with a model-agnostic multi-objective algorithm. UAI 2021: 600-609 - [i14]Martin Milenkoski, Diego Antognini, Claudiu Musat:
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts. CoRR abs/2104.12822 (2021) - [i13]Diego Antognini, Boi Faltings:
Fast Multi-Step Critiquing for VAE-based Recommender Systems. CoRR abs/2105.00774 (2021) - [i12]Diego Antognini, Boi Faltings:
Rationalization through Concepts. CoRR abs/2105.04837 (2021) - [i11]Diana Petrescu, Diego Antognini, Boi Faltings:
Multi-Step Critiquing User Interface for Recommender Systems. CoRR abs/2107.06416 (2021) - 2020
- [c3]Diego Antognini, Boi Faltings:
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. LREC 2020: 4917-4923 - [c2]Diego Antognini, Boi Faltings:
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. LREC 2020: 6645-6650 - [i10]Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat:
Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR abs/2001.00846 (2020) - [i9]Diego Antognini, Boi Faltings:
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. CoRR abs/2002.06851 (2020) - [i8]Diego Antognini, Boi Faltings:
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. CoRR abs/2002.06854 (2020) - [i7]Diego Antognini, Claudiu Musat, Boi Faltings:
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR abs/2005.11067 (2020) - [i6]Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR abs/2009.04441 (2020) - [i5]Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR abs/2009.04695 (2020) - [i4]Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR abs/2009.08978 (2020)
2010 – 2019
- 2019
- [i3]Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Reviews. CoRR abs/1909.11386 (2019) - [i2]Diego Antognini, Boi Faltings:
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. CoRR abs/1909.12231 (2019) - 2017
- [c1]Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann
, Michael Baeriswyl:
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. ICDM Workshops 2017: 373-380 - [i1]Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. CoRR abs/1709.09220 (2017)
Coauthor Index
aka: Claudiu Musat
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last updated on 2024-08-10 00:33 CEST by the dblp team
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