TA
T.A. Akyıldız
Contributed
6 records found
Optimizing Dataset Quality for Enhanced Machine Learning Performance
A Study on the Impact of Dataset Metrics
With the increase of machine learning applications in our every-day life, high-quality datasets are becoming necessary to train accurate and reliable models. This research delves into the factors that contribute to a high quality dataset and examines how different dataset metrics
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Self-Supervised Representation Learning for Relational Multimodal Data
Should we combine multiple pretext tasks?
This research investigates the effectiveness of combining Feature Tokenizer Transformer (FTTransformer)[6] with graph neural networks for anti-money laundering (AML) applications. We explore various fine-tuning techniques, including LoRA[9] and vanilla fine-tuning, on our baselin
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The substantial amount of tabular data can be attributed to its storage convenience. There is a high demand for learning useful information from the data. To achieve that, machine learning models, called transformers, have been created. They can find patterns in the data, learn f
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This research investigates the effectiveness of combining Feature Tokenizer Transformer (FTTransformer)[6] with graph neural networks for anti-money laundering (AML) applications. We explore various fine-tuning techniques, including LoRA[9] and vanilla fine-tuning, our baseline F
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While LLMs are proficient in processing textual information, integrating them with other models presents significant challenges.
This study evaluates the effectiveness of various configurations for integrating a large language model (LLM) with models capable of handling multimoda
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