Zobrazeno 1 - 10
of 3 555
pro vyhledávání: '"Rizzoli, A. P."'
The automatic detection of temporal relations among events has been mainly investigated with encoder-only models such as RoBERTa. Large Language Models (LLM) have recently shown promising performance in temporal reasoning tasks such as temporal quest
Externí odkaz:
http://arxiv.org/abs/2410.10476
Current weakly-supervised incremental learning for semantic segmentation (WILSS) approaches only consider replacing pixel-level annotations with image-level labels, while the training images are still from well-designed datasets. In this work, we arg
Externí odkaz:
http://arxiv.org/abs/2407.13363
Autor:
Alghisi, Simone, Rizzoli, Massimo, Roccabruna, Gabriel, Mousavi, Seyed Mahed, Riccardi, Giuseppe
We study the limitations of Large Language Models (LLMs) for the task of response generation in human-machine dialogue. Several techniques have been proposed in the literature for different dialogue types (e.g., Open-Domain). However, the evaluations
Externí odkaz:
http://arxiv.org/abs/2406.06399
In Federated Learning (FL), multiple clients collaboratively train a global model without sharing private data. In semantic segmentation, the Federated source Free Domain Adaptation (FFreeDA) setting is of particular interest, where clients undergo u
Externí odkaz:
http://arxiv.org/abs/2403.13762
Autor:
Rizzoli, Aluna, Testerman, Donna
Let G be a simple algebraic group defined over an algebraically closed field k of characteristic p>0. Here we classify all irreducible kG-modules for which the principal A1 has no repeated composition factors, extending the work of Liebeck-Seitz-Test
Externí odkaz:
http://arxiv.org/abs/2402.12064
Autor:
Mousavi, Seyed Mahed, Roccabruna, Gabriel, Alghisi, Simone, Rizzoli, Massimo, Ravanelli, Mirco, Riccardi, Giuseppe
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in different downstream tasks, including dialogue state tracking and end-to-end response generation. Nevertheless, most of the publicly available datasets and benchmarks
Externí odkaz:
http://arxiv.org/abs/2401.02297
Autor:
Liu, Chang, Rizzoli, Giulia, Barbato, Francesco, Maracani, Andrea, Toldo, Marco, Michieli, Umberto, Niu, Yi, Zanuttigh, Pietro
Catastrophic forgetting of previous knowledge is a critical issue in continual learning typically handled through various regularization strategies. However, existing methods struggle especially when several incremental steps are performed. In this p
Externí odkaz:
http://arxiv.org/abs/2309.10479
Autor:
Nikolaos Mougios, Elena R. Cotroneo, Nils Imse, Jonas Setzke, Silvio O. Rizzoli, Nadja A. Simeth, Roman Tsukanov, Felipe Opazo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Fluorescence microscopy has long been a transformative technique in biological sciences. Nevertheless, most implementations are limited to a few targets, which have been revealed using primary antibodies and fluorescently conjugated secondar
Externí odkaz:
https://doaj.org/article/5bcd67a9cc594ab696bec8f4b5f3b9a0
Autor:
Trent Newman, Donna M. Bond, Teruhito Ishihara, Phoebe Rizzoli, Quentin Gouil, Timothy A. Hore, Geoff Shaw, Marilyn B. Renfree
Publikováno v:
Epigenetics & Chromatin, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract Background Genomic imprinting results in parent-of-origin-specific gene expression and, among vertebrates, is found only in therian mammals: marsupials and eutherians. A differentially methylated region (DMR), in which the methylation status
Externí odkaz:
https://doaj.org/article/061d1a17d2ae438787b7cc04888fca66
The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs) imagery heavily relies on the availability of annotated high-resolution aerial data. However, the scarcity of large-scale real datasets with pixel-level annotations pos
Externí odkaz:
http://arxiv.org/abs/2308.10491