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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...
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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...
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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...
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08/22/2022
InstanceFormer: An Online Video Instance Segmentation Framework
Recent transformer-based offline video instance segmentation (VIS) appro...
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05/19/2022
Towards a Holistic View on Argument Quality Prediction
Argumentation is one of society's foundational pillars, and, sparked by ...
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09/23/2021
Active Learning for Argument Strength Estimation
High-quality arguments are an essential part of decision-making. Automat...
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08/10/2021
Adaptive Multi-Resolution Attention with Linear Complexity
Transformers have improved the state-of-the-art across numerous tasks in...
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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 ...
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12/10/2020
Argument Mining Driven Analysis of Peer-Reviews
Peer reviewing is a central process in modern research and essential for...
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11/04/2020
Diversity Aware Relevance Learning for Argument Search
In this work, we focus on the problem of retrieving relevant arguments f...
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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...
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03/04/2020
PushNet: Efficient and Adaptive Neural Message Passing
Message passing neural networks have recently evolved into a state-of-th...
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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...
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05/26/2019