Supervised Contrastive Learning

method ID: supervisedcontrastivelearning

Related Papers

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-shot intent detection …...

31956

Building an Enhanced Autoregressive Document Retriever Leveraging Supervised Contrastive Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe goal of an information retrieval system is to retrieve documents that are most relevant to a given user query from a huge collection of documents, which usually requires time-consuming …...

1004

Consistent Representation Learning for Continual Relation Extraction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractContinual relation extraction (CRE) aims to continuously train a model on data with new relations while avoiding forgetting old ones. Some previous work has proved that storing a few typical …...

32535

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWhile there is much research on cross-domain text classification, most existing approaches focus on one-to-one or many-to-one domain adaptation. In this paper, we tackle the more challenging task of domain …...

4641

Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

We study the information retrieval task to identify the relevant law articles for a query on a legal issue in when the legal system in question is statute law. In …...

28774

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractK-Nearest Neighbor Neural Machine Translation (kNNMT) successfully incorporates external corpus by retrieving word-level representations at test time. Generally, kNNMT borrows the off-the-shelf context representation in the translation task, e.g., the …...

4780