Papers by Ankith M S

1 papers
KD-Boost: Boosting Real-Time Semantic Matching in E-commerce with Knowledge Distillation (2023.emnlp-industry)

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Challenge: Existing SOTA techniques for semantic matching are mostly based on Siamese networks.
Approach: They propose a novel knowledge distillation algorithm designed for real-time semantic matching . they train low latency accurate student models by leveraging soft labels from a teacher model .
Outcome: The proposed algorithm outperforms teacher and SOTA knowledge distillation benchmarks on e-commerce datasets.

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