---
title: "Who cites Curriculum Learning"
description: "659 papers of the Elamur Research library cite «Curriculum Learning», found in their bibliographies · page 1 of 2; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/"
---
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# Who cites «Curriculum Learning»

659 papers of our library cite it (of the 140884 whose bibliographies we read) · 34 with a page here, the most cited first · page 1 of 2 · [← the paper](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)

**1** [2](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/2/)

- [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/) — Florian Schroff, Dmitry Kalenichenko, James Philbin · 2015 · 11 939 citations
- [Natural Language Processing (almost) from Scratch](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) — Ronan Collobert, Jason Weston, Leon Bottou, et al. · 2011 · 6 099 citations
- [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations
- [Word Representations: A Simple and General Method for Semi-Supervised Learning](https://md.research.elamur.ai/free/en/papers/turian-2010-word-representations-simple-general-method/) — Joseph Turian, Lev-Arie Ratinov, Yoshua Bengio · 2010 · 2 421 citations
- [Deep Speech 2: End-to-End Speech Recognition in English and Mandarin](https://md.research.elamur.ai/free/en/papers/amodei-2015-deep-speech-2-end-end/) — Dario Amodei, Rishita Anubhai, Eric Battenberg, et al. · 2015 · 2 302 citations
- [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · 2023 · 1 262 citations
- [Bilingual Word Embeddings for Phrase-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/zou-2013-bilingual-word-embeddings-phrase-based/) — Will Y. Zou, Richard Socher, Daniel Cer, et al. · 2013 · 680 citations
- [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) — Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al. · 2019 · 555 citations
- [The Natural Language Decathlon: Multitask Learning as Question Answering](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/) — Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al. · 2018 · 523 citations
- [Entity-Relation Extraction as Multi-Turn Question Answering](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/) — Xiaoya Li, Fan Yin, Zijun Sun, et al. · 2019 · 437 citations
- [Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) — Yujia Qin, Shengding Hu, Yankai Lin, et al. · 2023 · 376 citations
- [Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/) — Yaojie Lu, Hongyu Lin, Jin Xu, et al. · 2021 · 370 citations
- [TextWorld: A Learning Environment for Text-based Games](https://md.research.elamur.ai/free/en/papers/cote-2018-textworld-learning-environment-text-based/) — Marc-Alexandre Cote, Akos Kadar, Xingdi Yuan, et al. · 2018 · 331 citations
- [Representation Learning: A Review and New Perspectives](https://md.research.elamur.ai/free/en/papers/bengio-2012-representation-learning-review-new-perspectives/) — Yoshua Bengio, Aaron Courville, Pascal Vincent · 2012 · 316 citations
- [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/) — Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al. · 2022 · 307 citations
- [Paraphrase Generation with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/) — Zichao Li, Xin Jiang, Lifeng Shang, et al. · 2018 · 298 citations
- [Curriculum Learning for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/xu-2020-curriculum-learning-natural-language-understanding/) — Benfeng Xu, Licheng Zhang, Zhendong Mao, et al. · 2020 · 239 citations
- [Polyglot: Distributed Word Representations for Multilingual NLP](https://md.research.elamur.ai/free/en/papers/rfou-2013-polyglot-distributed-word-representations-multilingual/) — Rami Al-Rfou', Bryan Perozzi, Steven Skiena · 2013 · 192 citations
- [Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/) — Lihua Qian, Hao Zhou, Yu Bao, et al. · 2021 · 180 citations
- [Trivial Transfer Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/) — Tom Kocmi, Ondřej Bojar · 2018 · 139 citations
- [Compound Probabilistic Context-Free Grammars for Grammar Induction](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/) — Yoon Kim, Chris Dyer, Alexander Rush · 2019 · 79 citations
- [Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment](https://md.research.elamur.ai/free/en/papers/tacl-2014-belinkov-exploring-compositional-architectures-word-vector/) — Yonatan Belinkov, Tao Lei, Regina Barzilay, et al. · 2014 · 45 citations
- [Is Child-Directed Speech Effective Training Data for Language Models?](https://md.research.elamur.ai/free/en/papers/feng-2024-is-child-directed-speech-effective/) — Steven Y. Feng, Noah D. Goodman, Michael C. Frank · 2024 · 16 citations
- [Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On](https://md.research.elamur.ai/free/en/papers/zeng-2024-skywork-math-data-scaling-laws/) — Liang Zeng, Liangjun Zhong, Liang Zhao, et al. · 2024 · 14 citations
- [BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/) — Miyu Oba, Akari Haga, Akiyo Fukatsu, et al. · 2023 · 9 citations

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