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Found 3 papers, 1 papers with code
Personalized Transformer-based Ranking for e-Commerce at Yandex
In this paper, we demonstrate that features produced by retrieval-focused deep learning models are sub-optimal for ranking stage in e-commerce recommendations.
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study
While quantization is well established for discriminative models, the performance of modern quantization techniques in application to GANs remains unclear.
Few-shot classification in Named Entity Recognition Task
For many natural language processing (NLP) tasks the amount of annotated data is limited.
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