Cross-lingual Continual Learning
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[1] T. Tuytelaars,et al. Three types of incremental learning , 2022, Nat. Mac. Intell..
[2] Xi Victoria Lin,et al. Lifting the Curse of Multilinguality by Pre-training Modular Transformers , 2022, NAACL.
[3] Navid Rekabsaz,et al. WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models , 2021, NAACL.
[4] Andrew O. Arnold,et al. Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora , 2021, BIGSCIENCE.
[5] Xiang Ren,et al. X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering , 2021, NAACL.
[6] Orhan Firat,et al. Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution , 2021, NAACL.
[7] Iryna Gurevych,et al. UNKs Everywhere: Adapting Multilingual Language Models to New Scripts , 2020, EMNLP.
[8] Bing Liu,et al. Continual Learning in Task-Oriented Dialogue Systems , 2020, EMNLP.
[9] Magdalena Biesialska,et al. Continual Lifelong Learning in Natural Language Processing: A Survey , 2020, COLING.
[10] Benoit Sagot,et al. When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models , 2020, NAACL.
[11] Haoran Li,et al. MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark , 2020, EACL.
[12] Iryna Gurevych,et al. AdapterHub: A Framework for Adapting Transformers , 2020, EMNLP.
[13] Iryna Gurevych,et al. MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer , 2020, EMNLP.
[14] Zhiyuan Liu,et al. More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction , 2020, AACL.
[15] Monojit Choudhury,et al. The State and Fate of Linguistic Diversity and Inclusion in the NLP World , 2020, ACL.
[16] Myle Ott,et al. Unsupervised Cross-lingual Representation Learning at Scale , 2019, ACL.
[17] Mikel Artetxe,et al. On the Cross-lingual Transferability of Monolingual Representations , 2019, ACL.
[18] Holger Schwenk,et al. MLQA: Evaluating Cross-lingual Extractive Question Answering , 2019, ACL.
[19] Gustavo Aguilar,et al. Knowledge Distillation from Internal Representations , 2019, AAAI Conference on Artificial Intelligence.
[20] Hung-yi Lee,et al. LAMOL: LAnguage MOdeling for Lifelong Language Learning , 2019, ICLR.
[21] Jason Baldridge,et al. PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification , 2019, EMNLP.
[22] Giuseppe Castellucci,et al. Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model , 2019, ArXiv.
[23] Sebastian Ruder,et al. Episodic Memory in Lifelong Language Learning , 2019, NeurIPS.
[24] Thomas Wolf,et al. Transfer Learning in Natural Language Processing , 2019, NAACL.
[25] Marc'Aurelio Ranzato,et al. Continual Learning with Tiny Episodic Memories , 2019, ArXiv.
[26] Marc'Aurelio Ranzato,et al. Efficient Lifelong Learning with A-GEM , 2018, ICLR.
[27] David Barber,et al. Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting , 2018, NeurIPS.
[28] Avijit Hazra,et al. Using the confidence interval confidently. , 2017, Journal of thoracic disease.
[29] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[30] Marc'Aurelio Ranzato,et al. Gradient Episodic Memory for Continual Learning , 2017, NIPS.
[31] Jiwon Kim,et al. Continual Learning with Deep Generative Replay , 2017, NIPS.
[32] Surya Ganguli,et al. Continual Learning Through Synaptic Intelligence , 2017, ICML.
[33] Derek Hoiem,et al. Learning without Forgetting , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[35] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[36] Martial Mermillod,et al. The stability-plasticity dilemma: investigating the continuum from catastrophic forgetting to age-limited learning effects , 2013, Front. Psychol..
[37] Philipp Koehn,et al. Statistical Significance Tests for Machine Translation Evaluation , 2004, EMNLP.
[38] Robert M. French,et al. Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented? , 1993, NIPS.
[39] Genta Indra Winata,et al. Preserving Cross-Linguality of Pre-trained Models via Continual Learning , 2021, REPL4NLP.
[40] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.