Who cites «Curriculum Learning» · page 7

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

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 and Knowledge Transfer with Memory Networks for Machine Comprehension — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
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)
Legal NERC with ontologies, Wikipedia and curriculum learning — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels — 2017 · arXiv:1712.05055 · published at ICML 2018
Neural Semantic Encoders — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Results of the WMT17 Neural MT Training Task — 2017 · Proceedings of the Second Conference on Machine Translation
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning — 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates — 2017 · arXiv:1708.07120
Teacher-Student Curriculum Learning — 2017 · arXiv:1707.00183
Towards Black-box Iterative Machine Teaching — 2017 · arXiv:1710.07742
An overview of gradient descent optimization algorithms — 2016 · arXiv:1609.04747
Easy Questions First? A Case Study on Curriculum Learning for Question Answering — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Extensions and Limitations of the Neural GPU — 2016 · arXiv:1611.00736
Fast Gated Neural Domain Adaptation: Language Model as a Case Study — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Going deeper with deep knowledge tracing — 2016
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
A Roadmap towards Machine Intelligence — 2015 · arXiv:1511.08130
Action-Conditional Video Prediction using Deep Networks in Atari Games — 2015 · arXiv:1507.08750
Context-Dependent Translation Selection Using Convolutional Neural Network — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin — 2015 · arXiv:1512.02595
FaceNet: A Unified Embedding for Face Recognition and Clustering — 2015 · arXiv:1503.03832
Incremental Adaptation Strategies for Neural Network Language Models — 2015 · Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education — 2015 · AAAI 2015
Neural Random-Access Machines — 2015 · arXiv:1511.06392
Reinforcement Learning Neural Turing Machines - Revised — 2015 · arXiv:1505.00521
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks — 2015 · arXiv:1506.03099
Specializing Word Embeddings for Similarity or Relatedness — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Unsupervised Text Normalization Using Distributed Representations of Words and Phrases — 2015 · Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words — 2015 · Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment — our card · 2014 · Transactions of the Association for Computational Linguistics
Learning Representations for Weakly Supervised Natural Language Processing Tasks — 2014 · Computational Linguistics
Learning to Execute — 2014 · arXiv:1410.4615
Transduction Recursive Auto-Associative Memory: Learning Bilingual Compositional Distributed Vector Representations of Inversion Transduction Grammars — 2014 · Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation
Aggregating Continuous Word Embeddings for Information Retrieval — 2013 · Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
Bilingual Word Embeddings for Phrase-Based Machine Translation — 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction — 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Polyglot: Distributed Word Representations for Multilingual NLP — 2013 · Proceedings of the Seventeenth Conference on Computational Natural Language Learning
Stagger: an Open-Source Part of Speech Tagger for Swedish — 2013 · Northern European Journal of Language Technology
Behavioral Factors in Interactive Training of Text Classifiers — 2012 · Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Practical recommendations for gradient-based training of deep architectures — 2012 · arXiv:1206.5533
Representation Learning: A Review and New Perspectives — 2012 · arXiv:1206.5538
Three Dependency-and-Boundary Models for Grammar Induction — 2012 · Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Compositional Matrix-Space Models for Sentiment Analysis — 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
Language Models as Representations for Weakly Supervised NLP Tasks — 2011 · Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Natural Language Processing (almost) from Scratch — 2011 · arXiv:1103.0398
From Baby Steps to Leapfrog: How ``Less is More'''' in Unsupervised Dependency Parsing — 2010 · Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Word Representations: A Simple and General Method for Semi-Supervised Learning — 2010 · Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics