Boost Your Fine-Tuning Performance with TPGM

Unveiling an Optimization Technique Without the Need for Extra Hyper-Parameters!

Background

At the recent CVPR 2023 conference in Vancouver, I had the privilege of exploring cutting-edge research in the field of transfer learning. Transfer learning is applicable to multiple domains, such as computer vision, natural language processing, and molecular modeling. Among the standout papers I encountered, one stood out for its innovative approach to fine-tuning and its potential to overcome existing limitations.

In the …

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