Fine-Tuning

Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021 Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models EMNLP 2021 FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models EMNLP 2021 Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech EMNLP 2021 Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021 Finetuning Pretrained Transformers into Variational Autoencoders EMNLP 2021 Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection CVPR 2021 HateBERT: Retraining BERT for Abusive Language Detection in English ACL 2021 How Transferable Are Reasoning Patterns in VQA? CVPR 2021 Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ACL 2021 Improving Punctuation Restoration for Speech Transcripts via External Data EMNLP 2021 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021 Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021 Learning with Algorithmic Supervision via Continuous Relaxations NeurIPS 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 LQF: Linear Quadratic Fine-Tuning CVPR 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 Measuring Similarity of Opinion-bearing Sentences EMNLP 2021 Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems EMNLP 2021 Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task EMNLP 2021 Multi-Modal Open-Domain Dialogue EMNLP 2021 Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission EMNLP 2021 On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning EMNLP 2021 On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines ICLR 2021