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

Hybrid-Regressive Neural Machine Translation — 2022 · arXiv:2210.10416
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
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
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
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation — 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
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
On Efficient Reinforcement Learning for Full-length Game of StarCraft II — 2022 · arXiv:2209.11553 · JAIR, 75 (2022), 213-260
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)
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
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)
The RoyalFlush System for the WMT 2022 Efficiency Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Training a Vision Transformer from scratch in less than 24 hours with 1 GPU — 2022 · arXiv:2211.05187
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
Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
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
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Bandits Don''t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation — 2021 · arXiv:2107.04099
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)
Compositional Data and Task Augmentation for Instruction Following — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Critical Thinking for Language Models — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
Curriculum Learning Effectively Improves Low Data VQA — 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
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
Document Level Hierarchical Transformer — 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
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
Learning Curricula for Multilingual Neural Machine Translation Training — 2021 · Proceedings of Machine Translation Summit XVIII: Research Track
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
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework — 2021 · Proceedings of Machine Translation Summit XVIII: Research Track
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 IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models — 2021 · arXiv:2108.06084
Token-wise Curriculum Learning for Neural Machine Translation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Transfer Learning for Sequence Generation: from Single-source to Multi-source — 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)
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)
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification — 2020 · Proceedings of the Workshop on the Cognitive Aspects of the Lexicon
Continual Lifelong Learning in Natural Language Processing: A Survey — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Curriculum Learning for Natural Language Understanding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
Discovering Biased News Articles Leveraging Multiple Human Annotations — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning — 2020 · arXiv:2006.08381