Online Continual Learning Under Extreme Memory Constraints. - Enrico Fini; Stéphane Lathuilière; Enver Sangineto; Moin Nabi; Elisa Ricci 001 (ECCV (28), 2020)

Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data. - Enrico Fini; Alessio Brutti (ICASSP, 2020)

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. - Subhankar Roy; Willi Menapace; Sebastiaan Oei; Ben Luijten; Enrico Fini; Cristiano Saltori; Iris A. M. Huijben; Nishith Chennakeshava; Federico Mento; Alessandro Sentelli; Emanuele Peschiera; Riccardo Trevisan; et al. (IEEE Trans. Medical Imaging, 2020)

Neighborhood Contrastive Learning for Novel Class Discovery. - Zhun Zhong; Enrico Fini; Subhankar Roy; Zhiming Luo; Elisa Ricci 001; Nicu Sebe (CVPR, 2021)

A Unified Objective for Novel Class Discovery. - Enrico Fini; Enver Sangineto; Stéphane Lathuilière; Zhun Zhong; Moin Nabi; Elisa Ricci 001 (ICCV, 2021)

Self-Supervised Models are Continual Learners. - Enrico Fini; Victor G. Turrisi da Costa; Xavier Alameda-Pineda; Elisa Ricci 001; Karteek Alahari; Julien Mairal (CVPR, 2022)

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. - Riccardo Franceschini; Enrico Fini; Cigdem Beyan; Alessandro Conti; Federica Arrigoni; Elisa Ricci 001 (ICPR, 2022)

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. - Victor Guilherme Turrisi da Costa; Enrico Fini; Moin Nabi; Nicu Sebe; Elisa Ricci 001 (J. Mach. Learn. Res., 2022)

Semi-supervised learning made simple with self-supervised clustering. - Enrico Fini; Pietro Astolfi; Karteek Alahari; Xavier Alameda-Pineda; Julien Mairal; Moin Nabi; Elisa Ricci 001 (CVPR, 2023)

A soft nearest-neighbor framework for continual semi-supervised learning. - Zhiqi Kang; Enrico Fini; Moin Nabi; Elisa Ricci 001; Karteek Alahari (ICCV, 2023)

Vocabulary-free Image Classification. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (NeurIPS, 2023)

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Moin Nabi; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improved baselines for vision-language pre-training. - Enrico Fini; Pietro Astolfi; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (Trans. Mach. Learn. Res., 2023)

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Hao Tang 005; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Multim., 2023)

Continual Contrastive Spoken Language Understanding. - Umberto Cappellazzo; Enrico Fini; Muqiao Yang; Daniele Falavigna; Alessio Brutti; Bhiksha Raj (ACL (Findings), 2024)

Retrieval-enriched zero-shot image classification in low-resource domains. - Nicola Dall'Asen; Yiming Wang 002; Enrico Fini; Elisa Ricci 001 (EMNLP, 2024)

StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. - Shirsha Bose; Ankit Jha; Enrico Fini; Mainak Singha; Elisa Ricci 001; Biplab Banerjee (WACV, 2024)

Vocabulary-free Image Classification and Semantic Segmentation. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (CoRR, 2024)

Automatic benchmarking of large multimodal models via iterative experiment programming. - Alessandro Conti; Enrico Fini; Paolo Rota; Yiming Wang 002; Massimiliano Mancini; Elisa Ricci 001 (CoRR, 2024)

Visual Scratchpads: Enabling Global Reasoning in Vision. - Aryo Lotfi; Enrico Fini; Samy Bengio; Moin Nabi; Emmanuel Abbe (CoRR, 2024)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - Enrico Fini; Mustafa Shukor; Xiujun Li; Philipp Dufter; Michal Klein; David Haldimann; Sai Aitharaju; Victor G. Turrisi da Costa; Louis Béthune; Zhe Gan; Alexander Toshev; Marcin Eichner; et al. (CVPR, 2025)

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. - Roman Bachmann 001; Jesse Allardice; David Mizrahi; Enrico Fini; Oguzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan (CoRR, 2025)

On Large Multimodal Models as Open-World Image Classifiers. - Alessandro Conti; Massimiliano Mancini; Enrico Fini; Yiming Wang 002; Paolo Rota; Elisa Ricci 001 (CoRR, 2025)

Scaling Laws for Native Multimodal Models. - Mustafa Shukor; Enrico Fini; Victor Guilherme Turrisi da Costa; Matthieu Cord; Joshua M. Susskind; Alaaeldin El-Nouby (CoRR, 2025)

Scaling Laws for Optimal Data Mixtures. - Mustafa Shukor; Louis Béthune; Dan Busbridge; David Grangier; Enrico Fini; Alaaeldin El-Nouby; Pierre Ablin (CoRR, 2025)