fine tuning

UniAudio: Towards Universal Audio Generation with Large Language Models ICML 2024 A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias ICLR 2023 An Empirical Comparison of LM-based Question and Answer Generation Methods ACL 2023 BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? SemEval 2023 Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models ACL 2023 IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations? ACL 2023 On the Power of Foundation Models ICML 2023 DUTNLP Machine Translation System for WMT22 General MT Task EMNLP 2022 A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation Interspeech 2021 Human Perception in Natural Language Generation ACL 2021 Improving Similar Language Translation With Transfer Learning EMNLP 2021 Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations EMNLP 2021 The Mininglamp Machine Translation System for WMT21 EMNLP 2021 Adversarially robust transfer learning ICLR 2020 The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning NeurIPS 2020 NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT EMNLP 2019 Explicit Inductive Bias for Transfer Learning with Convolutional Networks ICML 2018 An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation ACL 2017 Mutual Alignment Transfer Learning CoRL 2017 How transferable are features in deep neural networks? NeurIPS 2014