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Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data. The consequences are brittle models with poor performance with shift in group distribution at test time. When group annotation is availa
Externí odkaz:
http://arxiv.org/abs/2210.12195
Acquiring accurate labels on large-scale datasets is both time consuming and expensive. To reduce the dependency of deep learning models on learning from clean labeled data, several recent research efforts are focused on learning with noisy labels. T
Externí odkaz:
http://arxiv.org/abs/2201.10836
In NLP, a large volume of tasks involve pairwise comparison between two sequences (e.g. sentence similarity and paraphrase identification). Predominantly, two formulations are used for sentence-pair tasks: bi-encoders and cross-encoders. Bi-encoders
Externí odkaz:
http://arxiv.org/abs/2109.13059
In NLP, a large volume of tasks involve pairwise comparison between two sequences (e.g. sentence similarity and paraphrase identification). Predominantly, two formulations are used for sentence-pair tasks: bi-encoders and cross-encoders. Bi-encoders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f501436ba107e80143fe60a1daa8c323