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# Who cites «Curriculum Learning» · page 4

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

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1. [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*
2. [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*
3. [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*
4. [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*
5. [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)*
6. [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+)*
7. [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*
8. [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*
9. [DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning](https://arxiv.org/abs/2006.08381) *— 2020 · arXiv:2006.08381*
10. [Dynamic Curriculum Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/2020.coling-main.352/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
11. [Dynamic Data Selection for Curriculum Learning via Ability Estimation](https://aclanthology.org/2020.findings-emnlp.48/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
12. [Effective Use of Target-side Context for Neural Machine Translation](https://aclanthology.org/2020.coling-main.396/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
13. [Empowering Active Learning to Jointly Optimize System and User Demands](https://aclanthology.org/2020.acl-main.390/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
14. [From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?](https://aclanthology.org/2020.acl-main.660/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
15. [Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction](https://aclanthology.org/2020.coling-main.461/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
16. [History for Visual Dialog: Do we really need it?](https://aclanthology.org/2020.acl-main.728/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
17. [Intrinsic Evaluation of Summarization Datasets](https://aclanthology.org/2020.emnlp-main.649/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
18. [Learning a Multi-Domain Curriculum for Neural Machine Translation](https://aclanthology.org/2020.acl-main.689/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [Lifelong Language Knowledge Distillation](https://aclanthology.org/2020.emnlp-main.233/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
20. [Message Passing for Hyper-Relational Knowledge Graphs](https://arxiv.org/abs/2009.10847) *— 2020 · arXiv:2009.10847*
21. [Meta-Learning in Neural Networks: A Survey](https://arxiv.org/abs/2004.05439) *— 2020 · arXiv:2004.05439*
22. [Norm-Based Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2020.acl-main.41/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
23. [Phonetic and Visual Priors for Decipherment of Informal Romanization](https://aclanthology.org/2020.acl-main.737/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents](https://aclanthology.org/2020.acl-main.527/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.202/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
26. [Self-Paced Learning for Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.80/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
27. [The Return of Lexical Dependencies: Neural Lexicalized PCFGs](https://aclanthology.org/2020.tacl-1.42/) *— 2020 · Transactions of the Association for Computational Linguistics*
28. [Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems](https://aclanthology.org/2020.emnlp-main.203/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
29. [Uncertainty-Aware Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2020.acl-main.620/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
30. [When Do Curricula Work?](https://arxiv.org/abs/2012.03107) *— 2020 · arXiv:2012.03107*
31. [A Survey on Document-level Neural Machine Translation: Methods and Evaluation](https://arxiv.org/abs/1912.08494) *— 2019 · arXiv:1912.08494*
32. [A continual learning survey: Defying forgetting in classification tasks](https://arxiv.org/abs/1909.08383) *— 2019 · arXiv:1909.08383*
33. [A survey on intrinsic motivation in reinforcement learning](https://arxiv.org/abs/1908.06976) *— 2019 · arXiv:1908.06976*
34. [Competence-based Curriculum Learning for Neural Machine Translation](https://aclanthology.org/N19-1119/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
35. [Compound Probabilistic Context-Free Grammars for Grammar Induction](https://aclanthology.org/P19-1228/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
36. [Curriculum Learning for Domain Adaptation in Neural Machine Translation](https://aclanthology.org/N19-1189/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
37. [Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP](https://aclanthology.org/U19-1011/) *— 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association*
38. [Domain Adaptation with BERT-based Domain Classification and Data Selection](https://aclanthology.org/D19-6109/) *— 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)*
39. [Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning'' for Neural Machine Translation](https://aclanthology.org/P19-1123/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
40. [Entity-Relation Extraction as Multi-Turn Question Answering](https://aclanthology.org/P19-1129/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
41. [Espresso: A Fast End-to-end Neural Speech Recognition Toolkit](https://arxiv.org/abs/1909.08723) *— 2019 · arXiv:1909.08723*
42. [Fine-Grained Propaganda Detection with Fine-Tuned BERT](https://aclanthology.org/D19-5011/) *— 2019 · Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda*
43. [Generalizing Question Answering System with Pre-trained Language Model Fine-tuning](https://aclanthology.org/D19-5827/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
44. [Improving Anaphora Resolution in Neural Machine Translation Using Curriculum Learning](https://aclanthology.org/W19-6614/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
45. [Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation](https://aclanthology.org/D19-1409/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
46. [Label Dependent Deep Variational Paraphrase Generation](https://arxiv.org/abs/1911.11952) *— 2019 · arXiv:1911.11952*
47. [Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds](https://aclanthology.org/D19-1434/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
48. [Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems](https://aclanthology.org/P19-1370/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
49. [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://arxiv.org/abs/1907.05019) *— 2019 · arXiv:1907.05019*
50. [Multi-modal Discriminative Model for Vision-and-Language Navigation](https://aclanthology.org/W19-1605/) *— 2019 · Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP)*
51. [Neural Execution of Graph Algorithms](https://arxiv.org/abs/1910.10593) *— 2019 · arXiv:1910.10593*
52. [Orthogonal Gradient Descent for Continual Learning](https://arxiv.org/abs/1910.07104) *— 2019 · arXiv:1910.07104*
53. [Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions](https://arxiv.org/abs/1901.01753) *— 2019 · arXiv:1901.01753*
54. [Reinforcement Learning based Curriculum Optimization for Neural Machine Translation](https://aclanthology.org/N19-1208/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
55. [Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction](https://aclanthology.org/D19-1037/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
56. [Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives](https://aclanthology.org/P19-1486/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
57. [Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation](https://aclanthology.org/P19-1591/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
58. [Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments](https://arxiv.org/abs/1910.07224) *— 2019 · arXiv:1910.07224*
59. [Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence](https://arxiv.org/abs/1906.01965) *— 2019 · arXiv:1906.01965*
60. [An Overview of Machine Teaching](https://arxiv.org/abs/1801.05927) *— 2018 · arXiv:1801.05927*
61. [BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning](https://arxiv.org/abs/1810.08272) *— 2018 · arXiv:1810.08272*
62. [Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter](https://aclanthology.org/D18-1396/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
63. [CUNI Submissions in WMT18](https://aclanthology.org/W18-6416/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
64. [Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management](https://aclanthology.org/W18-5707/) *— 2018 · Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI*
65. [Decoding Strategies for Neural Referring Expression Generation](https://aclanthology.org/W18-6563/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
66. [Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks](https://aclanthology.org/K18-1037/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
67. [Factors Influencing the Surprising Instability of Word Embeddings](https://aclanthology.org/N18-1190/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
68. [Learning to Teach](https://arxiv.org/abs/1805.03643) *— 2018 · arXiv:1805.03643*
69. [Learning to Teach with Dynamic Loss Functions](https://arxiv.org/abs/1810.12081) *— 2018 · arXiv:1810.12081*
70. [Neural Compositional Denotational Semantics for Question Answering](https://aclanthology.org/D18-1239/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
71. [Neural Event Extraction from Movies Description](https://aclanthology.org/W18-1507/) *— 2018 · Proceedings of the First Workshop on Storytelling*
72. [Paraphrase Generation with Deep Reinforcement Learning](https://aclanthology.org/D18-1421/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
73. [Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets](https://aclanthology.org/N18-1199/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
74. [Self-Training for Jointly Learning to Ask and Answer Questions](https://aclanthology.org/N18-1058/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
75. [Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language](https://aclanthology.org/C18-1305/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
76. [Spotting Spurious Data with Neural Networks](https://aclanthology.org/N18-1182/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
77. [TextWorld: A Learning Environment for Text-based Games](https://arxiv.org/abs/1806.11532) *— 2018 · arXiv:1806.11532*
78. [The Natural Language Decathlon: Multitask Learning as Question Answering](https://arxiv.org/abs/1806.08730) *— 2018 · arXiv:1806.08730*
79. [Trivial Transfer Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/W18-6325/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers*
80. [Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study](https://aclanthology.org/D18-1500/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
81. [Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners](https://arxiv.org/abs/1802.05190) *— 2018 · arXiv:1802.05190*
82. [Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization](https://arxiv.org/abs/1708.05604) *— 2017 · arXiv:1708.05604 · IEEE DSMP Lviv (2016) 100-103*
83. [Adversarial Generation of Natural Language](https://aclanthology.org/W17-2629/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
84. [Automated Curriculum Learning for Neural Networks](https://arxiv.org/abs/1704.03003) *— 2017 · arXiv:1704.03003*
85. [Automatic Goal Generation for Reinforcement Learning Agents](https://arxiv.org/abs/1705.06366) *— 2017 · arXiv:1705.06366*
86. [Building competitive direct acoustics-to-word models for English conversational speech recognition](https://arxiv.org/abs/1712.03133) *— 2017 · arXiv:1712.03133*
87. [Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields](https://aclanthology.org/I17-1056/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
88. [Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks](https://aclanthology.org/W17-7509/) *— 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)*
89. [Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation](https://aclanthology.org/W17-3209/) *— 2017 · Proceedings of the First Workshop on Neural Machine Translation*
90. [Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability](https://aclanthology.org/P17-1075/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [Extractive Summarization Using Multi-Task Learning with Document Classification](https://aclanthology.org/D17-1223/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
92. [FigureQA: An Annotated Figure Dataset for Visual Reasoning](https://arxiv.org/abs/1710.07300) *— 2017 · arXiv:1710.07300*
93. [Gradient Episodic Memory for Continual Learning](https://arxiv.org/abs/1706.08840) *— 2017 · arXiv:1706.08840*
94. [Hindsight Experience Replay](https://arxiv.org/abs/1707.01495) *— 2017 · arXiv:1707.01495*
95. [Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play](https://arxiv.org/abs/1703.05407) *— 2017 · arXiv:1703.05407*
96. [Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning](https://arxiv.org/abs/1708.02190) *— 2017 · arXiv:1708.02190*
97. [Iterative Machine Teaching](https://arxiv.org/abs/1705.10470) *— 2017 · arXiv:1705.10470*
98. [Learning by Asking Questions](https://arxiv.org/abs/1712.01238) *— 2017 · arXiv:1712.01238*
99. [Learning to select data for transfer learning with Bayesian Optimization](https://aclanthology.org/D17-1038/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
100. [Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix](https://aclanthology.org/P17-1040/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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