Who cites «Curriculum Learning» · page 3

659 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Generalist Neural Algorithmic Learner — 2022 · arXiv:2209.11142
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Survey of Active Learning for Natural Language Processing — 2022 · arXiv:2210.10109
ALLSH: Active Learning Guided by Local Sensitivity and Hardness — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets — 2022 · arXiv:2202.02794 · 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Better Language Model with Hypernym Class Prediction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Challenges of Neural Machine Translation for Short Texts — 2022 · Computational Linguistics
Clean or Annotate: How to Spend a Limited Data Collection Budget — 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Curriculum-guided Abstractive Summarization for Mental Health Online Posts — 2022 · Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)
Data Selection Curriculum for Neural Machine Translation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Do Data-based Curricula Work? — 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Extreme Zero-Shot Learning for Extreme Text Classification — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Feeding What You Need by Understanding What You Learned — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Generalizing Morphological Inflection Systems to Unseen Lemmas — 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Generative Entity Typing with Curriculum Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Generic and Trend-aware Curriculum Learning for Relation Extraction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Hierarchical Curriculum Learning for AMR Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Improving Both Domain Robustness and Domain Adaptability in Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Interpretable Low-Resource Legal Decision Making — 2022 · arXiv:2201.01164
Isolated Sign Recognition using ASL Datasets with Consistent Text-based Gloss Labeling and Curriculum Learning — 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
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
No Language Left Behind: Scaling Human-Centered Machine Translation — 2022 · arXiv:2207.04672
On Curriculum Learning for Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Peano: Learning Formal Mathematical Reasoning — 2022 · arXiv:2211.15864
Predicting Difficulty and Discrimination of Natural Language Questions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages — 2022 · Transactions of the Association for Computational Linguistics
Semantic Similarity Based Filtering for Turkish Paraphrase Dataset Creation — 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)
Situated Dialogue Learning through Procedural Environment Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
The Grammar-Learning Trajectories of Neural Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression — 2022 · Transactions of the Association for Computational Linguistics
UniDU: Towards A Unified Generative Dialogue Understanding Framework — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes — 2022 · arXiv:2208.01066
Active Curriculum Learning — 2021 · Proceedings of the First Workshop on Interactive Learning for Natural Language Processing
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources — 2021 · arXiv:2105.06479
Bandits Don''t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Can Transformer Language Models Predict Psychometric Properties? — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Competence-based Curriculum Learning for Multilingual Machine Translation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation — 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)
Critical Thinking for Language Models — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
Data Augmentation for Text Generation Without Any Augmented Data — 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)
Dialogue Response Selection with Hierarchical Curriculum Learning — 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)
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Edit Distance Based Curriculum Learning for Paraphrase Generation — 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
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification — 2021 · arXiv:2110.00685
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates — 2021 · arXiv:2109.12804
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Generalization in Text-based Games via Hierarchical Reinforcement Learning — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Glancing Transformer for Non-Autoregressive Neural Machine Translation — 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)
Gradual Fine-Tuning for Low-Resource Domain Adaptation — 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Increasing Robustness to Spurious Correlations using Forgettable Examples — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Learning Algebraic Recombination for Compositional Generalization — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Multi-stage Pre-training over Simplified Multimodal Pre-training Models — 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)
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
On the Role of Corpus Ordering in Language Modeling — 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing
On the limit of English conversational speech recognition — 2021 · arXiv:2105.00982
Open Hierarchical Relation Extraction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Pre-training a BERT with Curriculum Learning by Increasing Block-Size of Input Text — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking — 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)
Progressive Multi-Granularity Training for Non-Autoregressive Translation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Progressive Self-Training with Discriminator for Aspect Term Extraction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Progressive Transformer-Based Generation of Radiology Reports — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Quantifying Appropriateness of Summarization Data for Curriculum Learning — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Self-Guided Curriculum Learning for Neural Machine Translation — 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)
Self-Supervised Curriculum Learning for Spelling Error Correction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Shortformer: Better Language Modeling using Shorter Inputs — 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)
Test Harder than You Train: Probing with Extrapolation Splits — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction — 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)
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models — 2021 · arXiv:2108.06084
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction — 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)
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information — 2021 · arXiv:2110.08420
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering — 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)
A Survey on Curriculum Learning — 2020 · arXiv:2010.13166
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models — 2020 · arXiv:2004.13270
Automatic Curriculum Learning For Deep RL: A Short Survey — 2020 · arXiv:2003.04664
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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