Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.
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Updated
Mar 24, 2023 - Python
Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.
Master project on Renal Classification based on MRI images.
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems, NoDaLiDa 2023
The code of the LFDeep project
yNet: A Breast Ultrasound Image Classification Algorithm Based on Metric Learning
MaskMTL - Attribute prediction in masked facial images with deep multitask learning
Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
Comprehensive genomic subtyping of glioma using semi-supervised multi-task deep learning on multimodal MRI
[Master-Thesis] This repository contains the source code and associated files for my master thesis.
Augmenting Multitask Learning for Multiclass Anomaly Severity Detection on Drone Flight Logs
Multi-task Learning for OCTA Segmentation (DRAC2022)
ScalableML final project, replicating the paper "Learning General Purpose Distributed Sentence Representations via Large Scale Multitask Learning."
Designed and trained a model to perform multi-tasks at the same time using a handful set of images
MTLA - Multi-Task Learning Archive
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications
A multifactorial optimization paradigm for linkage tree genetic algorithm (Information Science)
Scaleable multitask Network
GNNs Solution of SemEval-2017 Task 7
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