---
title: "Who cites Curriculum Learning — page 5"
description: "The papers of the Elamur Research library that cite «Curriculum Learning», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/5/"
---
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# Who cites «Curriculum Learning» · page 5

659 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/) · … · [4](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/4/) · **5** · [6](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/6/) · [7](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/7/)

1. [Hybrid-Regressive Neural Machine Translation](https://arxiv.org/abs/2210.10416) *— 2022 · arXiv:2210.10416*
2. [Improving Both Domain Robustness and Domain Adaptability in Machine Translation](https://aclanthology.org/2022.coling-1.461/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
3. [Interpretable Low-Resource Legal Decision Making](https://arxiv.org/abs/2201.01164) *— 2022 · arXiv:2201.01164*
4. [Isolated Sign Recognition using ASL Datasets with Consistent Text-based Gloss Labeling and Curriculum Learning](https://aclanthology.org/2022.sltat-1.3/) *— 2022 · Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives*
5. [Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models](https://aclanthology.org/2022.findings-emnlp.121/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
6. [MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification](https://aclanthology.org/2022.coling-1.180/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
7. [Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies](https://aclanthology.org/2022.eamt-1.4/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
8. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
9. [OLALA: Object-Level Active Learning for Efficient Document Layout Annotation](https://aclanthology.org/2022.nlpcss-1.19/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
10. [On Curriculum Learning for Commonsense Reasoning](https://aclanthology.org/2022.naacl-main.72/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
11. [On Efficient Reinforcement Learning for Full-length Game of StarCraft II](https://arxiv.org/abs/2209.11553) *— 2022 · arXiv:2209.11553 · JAIR, 75 (2022), 213-260*
12. [Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning](https://aclanthology.org/2022.coling-1.481/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
13. [Peano: Learning Formal Mathematical Reasoning](https://arxiv.org/abs/2211.15864) *— 2022 · arXiv:2211.15864*
14. [Predicting Difficulty and Discrimination of Natural Language Questions](https://aclanthology.org/2022.acl-short.15/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty](https://aclanthology.org/2022.repl4nlp-1.2/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
16. [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://aclanthology.org/2022.tacl-1.9/) *— 2022 · Transactions of the Association for Computational Linguistics*
17. [Semantic Similarity Based Filtering for Turkish Paraphrase Dataset Creation](https://aclanthology.org/2022.icnlsp-1.14/) *— 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)*
18. [Situated Dialogue Learning through Procedural Environment Generation](https://aclanthology.org/2022.acl-long.557/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation](https://aclanthology.org/2022.emnlp-main.347/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
20. [TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation](https://aclanthology.org/2022.coling-1.20/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
21. [The Grammar-Learning Trajectories of Neural Language Models](https://aclanthology.org/2022.acl-long.568/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [The RoyalFlush System for the WMT 2022 Efficiency Task](https://aclanthology.org/2022.wmt-1.65/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
23. [Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU](https://aclanthology.org/2022.emnlp-main.167/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
24. [Training a Vision Transformer from scratch in less than 24 hours with 1 GPU](https://arxiv.org/abs/2211.05187) *— 2022 · arXiv:2211.05187*
25. [Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression](https://aclanthology.org/2022.tacl-1.39/) *— 2022 · Transactions of the Association for Computational Linguistics*
26. [UniDU: Towards A Unified Generative Dialogue Understanding Framework](https://aclanthology.org/2022.sigdial-1.43/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
27. [Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning](https://aclanthology.org/2022.coling-1.420/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
28. [Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA](https://aclanthology.org/2022.repl4nlp-1.15/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
29. [Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions](https://aclanthology.org/2022.acl-long.524/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [What Can Transformers Learn In-Context? A Case Study of Simple Function Classes](https://arxiv.org/abs/2208.01066) *— 2022 · arXiv:2208.01066*
31. [Active Curriculum Learning](https://aclanthology.org/2021.internlp-1.6/) *— 2021 · Proceedings of the First Workshop on Interactive Learning for Natural Language Processing*
32. [Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources](https://arxiv.org/abs/2105.06479) *— 2021 · arXiv:2105.06479*
33. [Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes](https://aclanthology.org/2021.wassa-1.13/) *— 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
34. [Bandits Don”t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits](https://aclanthology.org/2021.findings-emnlp.274/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
35. [CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation](https://arxiv.org/abs/2107.04099) *— 2021 · arXiv:2107.04099*
36. [Can Transformer Language Models Predict Psychometric Properties?](https://aclanthology.org/2021.starsem-1.2/) *— 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
37. [Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation](https://aclanthology.org/2021.findings-emnlp.111/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
38. [Competence-based Curriculum Learning for Multilingual Machine Translation](https://aclanthology.org/2021.findings-emnlp.212/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
39. [Competence-based Multimodal Curriculum Learning for Medical Report Generation](https://aclanthology.org/2021.acl-long.234/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
40. [Compositional Data and Task Augmentation for Instruction Following](https://aclanthology.org/2021.findings-emnlp.178/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
41. [Critical Thinking for Language Models](https://aclanthology.org/2021.iwcs-1.7/) *— 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
42. [Curriculum Learning Effectively Improves Low Data VQA](https://aclanthology.org/2021.alta-1.3/) *— 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association*
43. [Data Augmentation for Text Generation Without Any Augmented Data](https://aclanthology.org/2021.acl-long.173/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
44. [Dialogue Response Selection with Hierarchical Curriculum Learning](https://aclanthology.org/2021.acl-long.137/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
45. [Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP](https://aclanthology.org/2021.emnlp-main.469/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
46. [Document Level Hierarchical Transformer](https://aclanthology.org/2021.alta-1.13/) *— 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association*
47. [Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning](https://aclanthology.org/2021.eacl-main.61/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
48. [Edit Distance Based Curriculum Learning for Paraphrase Generation](https://aclanthology.org/2021.acl-srw.24/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
49. [Exploiting Curriculum Learning in Unsupervised Neural Machine Translation](https://aclanthology.org/2021.findings-emnlp.79/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
50. [Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification](https://arxiv.org/abs/2110.00685) *— 2021 · arXiv:2110.00685*
51. [Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates](https://arxiv.org/abs/2109.12804) *— 2021 · arXiv:2109.12804*
52. [Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning](https://aclanthology.org/2021.naacl-main.434/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
53. [Generalization in Text-based Games via Hierarchical Reinforcement Learning](https://aclanthology.org/2021.findings-emnlp.116/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
54. [Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2021.acl-long.155/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
55. [Gradual Fine-Tuning for Low-Resource Domain Adaptation](https://aclanthology.org/2021.adaptnlp-1.22/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
56. [Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning](https://aclanthology.org/2021.findings-emnlp.131/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
57. [Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising](https://aclanthology.org/2021.ccl-1.101/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
58. [Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting](https://aclanthology.org/2021.emnlp-main.45/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
59. [Increasing Robustness to Spurious Correlations using Forgettable Examples](https://aclanthology.org/2021.eacl-main.291/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
60. [Learning Algebraic Recombination for Compositional Generalization](https://aclanthology.org/2021.findings-acl.97/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
61. [Learning Curricula for Multilingual Neural Machine Translation Training](https://aclanthology.org/2021.mtsummit-research.1/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
62. [Multi-stage Pre-training over Simplified Multimodal Pre-training Models](https://aclanthology.org/2021.acl-long.199/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
63. [NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction](https://aclanthology.org/2021.naacl-main.444/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
64. [On the Role of Corpus Ordering in Language Modeling](https://aclanthology.org/2021.sustainlp-1.15/) *— 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing*
65. [On the limit of English conversational speech recognition](https://arxiv.org/abs/2105.00982) *— 2021 · arXiv:2105.00982*
66. [Open Hierarchical Relation Extraction](https://aclanthology.org/2021.naacl-main.452/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning](https://aclanthology.org/2021.findings-acl.222/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
68. [Pre-training a BERT with Curriculum Learning by Increasing Block-Size of Input Text](https://aclanthology.org/2021.ranlp-1.112/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
69. [Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking](https://aclanthology.org/2021.acl-short.111/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
70. [Progressive Multi-Granularity Training for Non-Autoregressive Translation](https://aclanthology.org/2021.findings-acl.247/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
71. [Progressive Self-Training with Discriminator for Aspect Term Extraction](https://aclanthology.org/2021.emnlp-main.23/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
72. [Progressive Transformer-Based Generation of Radiology Reports](https://aclanthology.org/2021.findings-emnlp.241/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
73. [Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering](https://aclanthology.org/2021.eacl-main.244/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
74. [Quantifying Appropriateness of Summarization Data for Curriculum Learning](https://aclanthology.org/2021.eacl-main.119/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
75. [Self-Guided Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2021.iwslt-1.25/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
76. [Self-Supervised Curriculum Learning for Spelling Error Correction](https://aclanthology.org/2021.emnlp-main.281/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
77. [Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework](https://aclanthology.org/2021.mtsummit-research.13/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
78. [Shortformer: Better Language Modeling using Shorter Inputs](https://aclanthology.org/2021.acl-long.427/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
79. [Test Harder than You Train: Probing with Extrapolation Splits](https://aclanthology.org/2021.blackboxnlp-1.2/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
80. [Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://aclanthology.org/2021.acl-long.217/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
81. [The IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task](https://aclanthology.org/2021.wmt-1.103/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
82. [The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models](https://arxiv.org/abs/2108.06084) *— 2021 · arXiv:2108.06084*
83. [Token-wise Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2021.findings-emnlp.310/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
84. [Transfer Learning for Sequence Generation: from Single-source to Multi-source](https://aclanthology.org/2021.acl-long.446/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
85. [Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction](https://aclanthology.org/2021.acl-long.360/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
86. [Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information](https://arxiv.org/abs/2110.08420) *— 2021 · arXiv:2110.08420*
87. [xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering](https://aclanthology.org/2021.acl-long.477/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
88. [A Survey on Curriculum Learning](https://arxiv.org/abs/2010.13166) *— 2020 · arXiv:2010.13166*
89. [Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models](https://arxiv.org/abs/2004.13270) *— 2020 · arXiv:2004.13270*
90. [Automatic Curriculum Learning For Deep RL: A Short Survey](https://arxiv.org/abs/2003.04664) *— 2020 · arXiv:2003.04664*
91. [BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://aclanthology.org/2020.emnlp-main.633/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
92. [BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps](https://aclanthology.org/2020.acl-main.229/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
93. [CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification](https://aclanthology.org/2020.cogalex-1.7/) *— 2020 · Proceedings of the Workshop on the Cognitive Aspects of the Lexicon*
94. [Continual Lifelong Learning in Natural Language Processing: A Survey](https://aclanthology.org/2020.coling-main.574/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
95. [Curriculum Learning for Natural Language Understanding](https://aclanthology.org/2020.acl-main.542/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
96. [Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics](https://aclanthology.org/2020.emnlp-main.746/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers](https://aclanthology.org/2020.webnlg-1.9/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
98. [Discovering Biased News Articles Leveraging Multiple Human Annotations](https://aclanthology.org/2020.lrec-1.159/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
99. [Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering](https://aclanthology.org/2020.lrec-1.248/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
100. [DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning](https://arxiv.org/abs/2006.08381) *— 2020 · arXiv:2006.08381*

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