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I have developed two novel loss functions for supervised contrastive learning that have demonstrated significant improvements over the supcon loss in terms of accuracy. These developments have the potential to advance the field substantially, and I believe they warrant further exploration and discussion.
I am reaching out to propose a collaborative effort to explore these new loss functions more deeply and to potentially co-author a research paper on the findings. I am convinced that combining these new methods with Google's expertise and resources could lead to significant advancements in the field.
I would greatly appreciate the opportunity to discuss this proposal further with your team. Please let me know if there is interest from your side, and how we might move forward together.
Hello Google Research Team,
I have developed two novel loss functions for supervised contrastive learning that have demonstrated significant improvements over the supcon loss in terms of accuracy. These developments have the potential to advance the field substantially, and I believe they warrant further exploration and discussion.
I am reaching out to propose a collaborative effort to explore these new loss functions more deeply and to potentially co-author a research paper on the findings. I am convinced that combining these new methods with Google's expertise and resources could lead to significant advancements in the field.
I would greatly appreciate the opportunity to discuss this proposal further with your team. Please let me know if there is interest from your side, and how we might move forward together.
Best regards,
Amir Mousavi
amousavy9@gmail.com
www.linkedin.com/in/amousavi9
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