Mojtaba Valipour
Orcid: 0000-0002-5877-2869
According to our database1,
Mojtaba Valipour
authored at least 11 papers
between 2015 and 2024.
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Bibliography
2024
Symbolic Regression and Sequence Modelling with Conditional and Dynamic Language Models.
PhD thesis, 2024
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models.
CoRR, 2024
SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models.
CoRR, 2024
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).
CoRR, 2023
SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks.
CoRR, 2023
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
2021
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.
Medical Image Anal., 2021
2015
Assessing the role of AR-based content in improving learning performance considering Felder-Silverman learning style.
Proceedings of the International Conference on Interactive Collaborative Learning, 2015