Md. Kowsher

Orcid: 0000-0001-5469-3437

According to our database1, Md. Kowsher authored at least 21 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Propulsion: Steering LLM with Tiny Fine-Tuning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Does Self-Attention Need Separate Weights in Transformers?
CoRR, 2024

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting.
CoRR, 2024

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates.
CoRR, 2024

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning.
CoRR, 2024

Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer.
CoRR, 2024

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM.
Proceedings of the Natural Language Processing and Information Systems, 2024

L-Tuning: Synchronized Label Tuning for Prompt and Prefix in LLMS.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Impact learning: A learning method from feature's impact and competition.
J. Comput. Sci., May, 2023

Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers.
CoRR, 2023

A Comprehensive Review on Big Data for Industries: Challenges and Opportunities.
IEEE Access, 2023

2022
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning.
Sensors, 2022

A review on job scheduling technique in cloud computing and priority rule based intelligent framework.
J. King Saud Univ. Comput. Inf. Sci., 2022

Impact Learning: A Learning Method from Features Impact and Competition.
CoRR, 2022

Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding.
IEEE Access, 2022

CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation.
IEEE Access, 2022

BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

2021
SeqVectorizer: Sequence Representation in Vector Space.
Proceedings of the NISS2021: The 4th International Conference on Networking, Information Systems & Security, KENITRA, Morocco, April 1, 2021

SDSV: Angle Measurement for Supervised Classification.
Proceedings of the Fifth International Conference On Arabic Computational Linguistics, 2021

2020
Impact-Learning: A Robust Machine Learning Algorithm.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020

2018
Type 2 Diabetics Treatment and Medication Detection with Machine Learning Classifier Algorithm.
Proceedings of International Joint Conference on Computational Intelligence, 2018


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