H. Toprak Kesgin

According to our database, H. Toprak Kesgin authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Cyclical Curriculum Learning.

H. Toprak Kesgin, Mehmet Fatih Amasyali

IEEE Trans. Neural Networks Learn. Syst., September, 2024

A robust optimization method for label noisy datasets based on adaptive threshold: Adaptive-k.

Enes Dedeoglu, Himmet Toprak Kesgin, Mehmet Fatih Amasyali

Frontiers Comput. Sci., August, 2024

Advancing NLP models with strategic text augmentation: A comprehensive study of augmentation methods and curriculum strategies.

Himmet Toprak Kesgin, Mehmet Fatih Amasyali

Nat. Lang. Process. J., 2024

T\"urk\c{c}e Dil Modellerinin Performans Kar\c{s}{\i}la\c{s}t{\i}rmas{\i} Performance Comparison of Turkish Language Models.

Eren Dogan, M. Egemen Uzun, Atahan Uz, H. Emre Seyrek, Ahmed Zeer, Ezgi Sevi, H. Toprak Kesgin, Muzaffer Kaan Yuce, Mehmet Fatih Amasyali

CoRR, 2024

Investigating Semi-Supervised Learning Algorithms in Text Datasets.

Himmet Toprak Kesgin, Mehmet Fatih Amasyali

CoRR, 2024

Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling.

Himmet Toprak Kesgin, Mehmet Fatih Amasyali

CoRR, 2024

Introducing cosmosGPT: Monolingual Training for Turkish Language Models.

H. Toprak Kesgin, Muzaffer Kaan Yuce, Eren Dogan, M. Egemen Uzun, Atahan Uz, H. Emre Seyrek, Ahmed Zeer, Mehmet Fatih Amasyali

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024

2023

Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models.

Himmet Toprak Kesgin, Muzaffer Kaan Yuce, Mehmet Fatih Amasyali

CoRR, 2023

2022

Development and Comparison of Scoring Functions in Curriculum Learning.

H. Toprak Kesgin, Mehmet Fatih Amasyali

CoRR, 2022