Fine-Tuning

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification ACL 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA EMNLP 2021 Prefix-Tuning: Optimizing Continuous Prompts for Generation ACL 2021 Pre-train or Annotate? Domain Adaptation with a Constrained Budget EMNLP 2021 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 Rethinking Why Intermediate-Task Fine-Tuning Works EMNLP 2021 Revisiting Few-sample BERT Fine-tuning ICLR 2021 Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages EMNLP 2021 Scalable Diverse Model Selection for Accessible Transfer Learning NeurIPS 2021 Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021 Span Fine-tuning for Pre-trained Language Models EMNLP 2021 Stage-wise Fine-tuning for Graph-to-Text Generation ACL 2021 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP 2021 Style Control for Schema-Guided Natural Language Generation EMNLP 2021 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning ICLR 2021 T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP EMNLP 2021 Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding EMNLP 2021 Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media EMNLP 2021 The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach EMNLP 2021 The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 EMNLP 2021 Towards Multi-Grained Explainability for Graph Neural Networks NeurIPS 2021 UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 AAAI 2021 Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning ACL 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NeurIPS 2021