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05/22/2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Out-of-distribution (OOD) detection is a critical task for reliable pred...
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03/01/2021
Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Abstractive summarization is the task of compressing a long document int...
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11/17/2019
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition
Existing deep active learning algorithms achieve impressive sampling eff...
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09/15/2019
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains
Current state of the art methods in Domain Adaptation follow adversarial...
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04/30/2019
