Article/Books/eBooks
An Open Dataset of Synthetic Speech
This paper introduces a multilingual, multispeaker dataset composed of synthetic and natural speech, designed to foster research and benchmarking in synthetic speech detection.
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gnntf: A Flexible Deep Graph Neural Network Framework
This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.
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Word-Class Embeddings for Multiclass Text Classification
Code for Word-Class Embeddings (WCEs), a form of supervised embeddings especially suited for multiclass text classification.
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Neighborhood Contrastive Learning for Novel Class Discovery
A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data.
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Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
we study the task of synthetic-to-real domain generalized semantic segmentation, which aims to learn a model that is robust to unseen real-world scenes using only synthetic data.
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Novel Class Discovery in Semantic Segmentation (NCDSS)
We introduce a new setting of Novel Class Discovery in Semantic Segmentation (NCDSS), which aims at segmenting unlabeled images containing new classes given prior knowledge from a labeled set of disjoint classes.