Papers by Arun Kejariwal
Harmless Transfer Learning for Item Embeddings (2022.findings-naacl)
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| Challenge: | Existing approaches to learn item embeddings for categorical features are limited by the frequency of items in real-world. |
| Approach: | They propose a method that transfers knowledge from frequent items to rare items by introducing an auxiliary transfer loss. |
| Outcome: | The proposed framework significantly boosts the performance on a variety of NLP and recommendation system tasks. |