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Balancing Privacy Protection and Interpretability in Federated Learning

Feb 16, 2023
Zhe Li, Honglong Chen, Zhichen Ni, Huajie Shao

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Fairness-aware Multi-view Clustering

Feb 11, 2023
Lecheng Zheng, Yada Zhu, Jingrui He

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Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks

Feb 14, 2023
Joseph Renner, Pascal Denis, Rémi Gilleron, Angèle Brunellière

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Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation

Feb 14, 2023
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, Stefan Sommer, Christoph Stuprich, Fengdan Wang, Claudia Weidensteiner, Giulia Manco, Matteo Paoletti, Valentina Mazzoli, Arjun Desai, Anna Pichiecchio

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Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections

Feb 13, 2023
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang

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Dataset of Natural Language Queries for E-Commerce

Feb 13, 2023
Andrea Papenmeier, Dagmar Kern, Daniel Hienert, Alfred Sliwa, Ahmet Aker, Norbert Fuhr

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Long Text and Multi-Table Summarization: Dataset and Method

Feb 08, 2023
Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen

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Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning

Feb 08, 2023
Mozhgan Pourkeshavarz, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam, Mehrnoush Shamsfard

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Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Mar 11, 2023
Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern Menze

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A Novel Method Combines Moving Fronts, Data Decomposition and Deep Learning to Forecast Intricate Time Series

Mar 11, 2023
Debdarsan Niyogi

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