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Kunal Chawla

2 accepted papers

2022

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain

EMNLP 2022main

Pre-trained language models have shown impressive performance on a variety of tasks and domains. Previous research on financial language models usually employs a generic training scheme to train standard model architectures, without completely leveraging the richness of the financial data. We propos…

Cited by 132SourcePDFScholar
2018

Attention-based Ensemble for Deep Metric Learning

ECCV 2018poster

Recently, ensemble has been applied to deep metric learning to yield state-of-the-art results. Deep metric learning aims to learn deep neural networks for feature embeddings, distances of which satisfy given constraint. In deep metric learning, ensemble takes average of distances learned by multiple…

Cited by 276SourcePDFScholar