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Fine-Tuning

704 directly classified papers

Papers per year

Papers

Less-forgetting Multi-lingual Fine-tuning NIPS 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NIPS 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NIPS 2022
Patching open-vocabulary models by interpolating weights NIPS 2022
Improved Fine-Tuning by Better Leveraging Pre-Training Data NIPS 2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NIPS 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation ACL 2022
A Closer Look at How Fine-tuning Changes BERT ACL 2022
A Study on Entity Linking Across Domains: Which Data is Best for Fine-Tuning? ACL 2022
giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI ACL 2022
Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ACL 2022
DeepMistake at LSCDiscovery: Can a Multilingual Word-in-Context Model Replace Human Annotators? ACL 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing ACL 2022
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce ACL 2022
Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance ACL 2022
Fine-tuning pre-trained models for Automatic Speech Recognition, experiments on a fieldwork corpus of Japhug (Trans-Himalayan family) ACL 2022
Training Dynamics for Text Summarization Models ACL 2022
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks ACL 2022
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services AAAI 2022
Frozen Pretrained Transformers as Universal Computation Engines AAAI 2022
Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion ACL 2022
A Gentle Introduction to Deep Nets and Opportunities for the Future ACL 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022
Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021