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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) - [c17]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 - [c16]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. NAACL-HLT 2024: 2793-2804 - [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
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
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
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
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 2024-10-07 21:26 CEST by the dblp team
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