copenlu / xformer-multi-source-domain-adaptation
Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)
☆42Updated 4 years ago
Alternatives and similar repositories for xformer-multi-source-domain-adaptation:
Users that are interested in xformer-multi-source-domain-adaptation are comparing it to the libraries listed below
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 4 years ago
- Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews☆30Updated 4 years ago
- Multi-Source Domain Attention☆14Updated 4 years ago
- Code for "Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization" (ICASSP 2021)☆20Updated 3 years ago
- The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.☆21Updated 2 years ago
- Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".☆51Updated 3 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 5 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 4 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 3 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 2 years ago
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 4 years ago
- An implementation of the paper "Learning to Reweight Examples for Robust Deep Learning" from ICML 2018 with PyTorch and Higher.☆28Updated 2 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆39Updated 3 years ago
- Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL 2021. https://arxiv.org/abs…☆20Updated 3 years ago
- MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization☆20Updated 5 years ago
- Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models☆16Updated 3 years ago
- ☆16Updated 3 years ago
- ☆38Updated 4 years ago
- Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"☆30Updated 3 years ago
- Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch☆58Updated last year
- Meta-learning for NLP☆50Updated 4 years ago
- Code for Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach☆14Updated 4 years ago
- The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"☆30Updated 4 years ago
- ☆24Updated 4 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆67Updated 5 years ago
- Implementation of QKVAE☆11Updated 2 years ago
- ☆17Updated 4 years ago
- [AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.☆12Updated 2 years ago
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Updated 2 years ago