Search Results for author: Josip Krapac

Found 5 papers, 2 papers with code

Task-Specific Embeddings for Ante-Hoc Explainable Text Classification

no code implementations30 Nov 2022 Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra

In a series of experiments, we show that this yields a number of interesting benefits: (1) The resulting order induced by distances in the embedding space can be used to directly explain classification decisions.

Incremental Learning text-classification +1

Task-Aware Representation of Sentences for Generic Text Classification

1 code implementation COLING 2020 Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf

State-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem.

Binary Classification text-classification +2

Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images

3 code implementations14 May 2019 Ivan Krešo, Josip Krapac, Siniša Šegvić

Recent progress of deep image classification models has provided great potential to improve state-of-the-art performance in related computer vision tasks.

Image Classification Semantic Segmentation

Read classification using semi-supervised deep learning

no code implementations23 Apr 2019 Tomislav Šebrek, Jan Tomljanović, Josip Krapac, Mile Šikić

In this paper, we propose a semi-supervised deep learning method for detecting the specific types of reads that impede the de novo genome assembly process.

Classification General Classification

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