Thomas Seidl | DeepAI

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∙ 08/16/2023

How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning

Do we need active learning? The rise of strong deep semi-supervised meth...

0 Sandra Gilhuber, et al. ∙

∙ 07/31/2023

DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification

Node classification is one of the core tasks on attributed graphs, but s...

0 Sandra Gilhuber, et al. ∙

∙ 05/26/2023

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation

Recent trends in Video Instance Segmentation (VIS) have seen a growing r...

0 Tanveer Hannan, et al. ∙

∙ 08/22/2022

InstanceFormer: An Online Video Instance Segmentation Framework

Recent transformer-based offline video instance segmentation (VIS) appro...

1 Rajat Koner, et al. ∙

∙ 05/19/2022

Towards a Holistic View on Argument Quality Prediction

Argumentation is one of society's foundational pillars, and, sparked by ...

0 Michael Fromm, et al. ∙

∙ 09/23/2021

Active Learning for Argument Strength Estimation

High-quality arguments are an essential part of decision-making. Automat...

0 Nataliia Kees, et al. ∙

∙ 08/10/2021

Adaptive Multi-Resolution Attention with Linear Complexity

Transformers have improved the state-of-the-art across numerous tasks in...

0 Yao Zhang, et al. ∙

∙ 03/05/2021

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification

Malicious software (malware) poses an increasing threat to the security ...

0 Julian Busch, et al. ∙

∙ 12/10/2020

Argument Mining Driven Analysis of Peer-Reviews

Peer reviewing is a central process in modern research and essential for...

0 Michael Fromm, et al. ∙

∙ 11/04/2020

Diversity Aware Relevance Learning for Argument Search

In this work, we focus on the problem of retrieving relevant arguments f...

0 Michael Fromm, et al. ∙

∙ 09/27/2020

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering

Subspace clustering has established itself as a state-of-the-art approac...

2 Julian Busch, et al. ∙

∙ 03/04/2020

PushNet: Efficient and Adaptive Neural Message Passing

Message passing neural networks have recently evolved into a state-of-th...

0 Julian Busch, et al. ∙

∙ 11/19/2019

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

In this work, we focus on the problem of entity alignment in Knowledge G...

0 Max Berrendorf, et al. ∙

∙ 05/26/2019

TACAM: Topic And Context Aware Argument Mining

In this work we address the problem of argument search. The purpose of a...

0 Michael Fromm, et al. ∙

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