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06/04/2023
Exposing Bias in Online Communities through Large-Scale Language Models
Progress in natural language generation research has been shaped by the ...
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08/22/2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Given the increase of publications, search for relevant papers becomes t...
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09/13/2021
Explaining Deep Learning Representations by Tracing the Training Process
We propose a novel explanation method that explains the decisions of a d...
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08/30/2021
Noisy Labels for Weakly Supervised Gamma Hadron Classification
Gamma hadron classification, a central machine learning task in gamma ra...
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02/02/2021
Bit Error Tolerance Metrics for Binarized Neural Networks
To reduce the resource demand of neural network (NN) inference systems, ...
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11/05/2020
Generalized Negative Correlation Learning for Deep Ensembling
Ensemble algorithms offer state of the art performance in many machine l...
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10/20/2020
Very Fast Streaming Submodular Function Maximization
Data summarization has become a valuable tool in understanding even tera...
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02/03/2020