model fine-tuning

FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023 Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection Interspeech 2023 Francis Wilde at SemEval-2023 Task 5: Clickbait Spoiler Type Identification with Transformers SemEval 2023 Geographical Erasure in Language Generation EMNLP 2023 ImageNet Pre-training Also Transfers Non-robustness AAAI 2023 Language Models Can Teach Themselves to Program Better ICLR 2023 Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023 Multi-Concept Customization of Text-to-Image Diffusion CVPR 2023 MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023 Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages ACL 2023 Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer EMNLP 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 PrecogIIITH@WASSA2023: Emotion Detection for Urdu-English Code-mixed Text ACL 2023 Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language Models SemEval 2023 Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset Interspeech 2023 StyleDrop: Text-to-Image Synthesis of Any Style NeurIPS 2023 SVDiff: Compact Parameter Space for Diffusion Fine-Tuning ICCV 2023 Text Alignment Is An Efficient Unified Model for Massive NLP Tasks NeurIPS 2023 The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models AACL 2023 Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages EACL 2023 A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization Interspeech 2022 BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022 Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection SemEval 2022 JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts SemEval 2022