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

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
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Dynamic Data Selection for Curriculum Learning via Ability Estimation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Effective Use of Target-side Context for Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Empowering Active Learning to Jointly Optimize System and User Demands — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
History for Visual Dialog: Do we really need it? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Intrinsic Evaluation of Summarization Datasets — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Learning a Multi-Domain Curriculum for Neural Machine Translation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Lifelong Language Knowledge Distillation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Message Passing for Hyper-Relational Knowledge Graphs — 2020 · arXiv:2009.10847
Meta-Learning in Neural Networks: A Survey — 2020 · arXiv:2004.05439
Norm-Based Curriculum Learning for Neural Machine Translation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Phonetic and Visual Priors for Decipherment of Informal Romanization — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Self-Paced Learning for Neural Machine Translation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
The Return of Lexical Dependencies: Neural Lexicalized PCFGs — 2020 · Transactions of the Association for Computational Linguistics
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Uncertainty-Aware Curriculum Learning for Neural Machine Translation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
When Do Curricula Work? — 2020 · arXiv:2012.03107
A Survey on Document-level Neural Machine Translation: Methods and Evaluation — 2019 · arXiv:1912.08494
A continual learning survey: Defying forgetting in classification tasks — 2019 · arXiv:1909.08383
A survey on intrinsic motivation in reinforcement learning — 2019 · arXiv:1908.06976
Competence-based Curriculum Learning for Neural Machine Translation — 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)
Compound Probabilistic Context-Free Grammars for Grammar Induction — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Curriculum Learning for Domain Adaptation in Neural Machine Translation — 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)
Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP — 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association
Domain Adaptation with BERT-based Domain Classification and Data Selection — 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning'' for Neural Machine Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Entity-Relation Extraction as Multi-Turn Question Answering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit — 2019 · arXiv:1909.08723
Fine-Grained Propaganda Detection with Fine-Tuned BERT — 2019 · Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
Improving Anaphora Resolution in Neural Machine Translation Using Curriculum Learning — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation — 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)
Label Dependent Deep Variational Paraphrase Generation — 2019 · arXiv:1911.11952
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds — 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)
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges — 2019 · arXiv:1907.05019
Multi-modal Discriminative Model for Vision-and-Language Navigation — 2019 · Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP)
Neural Execution of Graph Algorithms — 2019 · arXiv:1910.10593
Orthogonal Gradient Descent for Continual Learning — 2019 · arXiv:1910.07104
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions — 2019 · arXiv:1901.01753
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation — 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)
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction — 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)
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments — 2019 · arXiv:1910.07224
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence — 2019 · arXiv:1906.01965
An Overview of Machine Teaching — 2018 · arXiv:1801.05927
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning — 2018 · arXiv:1810.08272
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
CUNI Submissions in WMT18 — 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management — 2018 · Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI
Decoding Strategies for Neural Referring Expression Generation — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
Factors Influencing the Surprising Instability of Word Embeddings — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Learning to Teach — 2018 · arXiv:1805.03643
Learning to Teach with Dynamic Loss Functions — 2018 · arXiv:1810.12081
Neural Compositional Denotational Semantics for Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Neural Event Extraction from Movies Description — 2018 · Proceedings of the First Workshop on Storytelling
Paraphrase Generation with Deep Reinforcement Learning — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Self-Training for Jointly Learning to Ask and Answer Questions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
Spotting Spurious Data with Neural Networks — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
TextWorld: A Learning Environment for Text-based Games — 2018 · arXiv:1806.11532
The Natural Language Decathlon: Multitask Learning as Question Answering — 2018 · arXiv:1806.08730
Trivial Transfer Learning for Low-Resource Neural Machine Translation — 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners — 2018 · arXiv:1802.05190
Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization — 2017 · arXiv:1708.05604 · IEEE DSMP Lviv (2016) 100-103
Adversarial Generation of Natural Language — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
Automated Curriculum Learning for Neural Networks — 2017 · arXiv:1704.03003
Automatic Goal Generation for Reinforcement Learning Agents — 2017 · arXiv:1705.06366
Building competitive direct acoustics-to-word models for English conversational speech recognition — 2017 · arXiv:1712.03133
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks — 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation — 2017 · Proceedings of the First Workshop on Neural Machine Translation
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Extractive Summarization Using Multi-Task Learning with Document Classification — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
FigureQA: An Annotated Figure Dataset for Visual Reasoning — 2017 · arXiv:1710.07300
Gradient Episodic Memory for Continual Learning — 2017 · arXiv:1706.08840
Hindsight Experience Replay — 2017 · arXiv:1707.01495
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play — 2017 · arXiv:1703.05407
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning — 2017 · arXiv:1708.02190
Iterative Machine Teaching — 2017 · arXiv:1705.10470
Learning by Asking Questions — 2017 · arXiv:1712.01238
Learning to select data for transfer learning with Bayesian Optimization — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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