---
title: "Who cites Dropout: A Simple — page 3 — 2,041 citing papers"
description: "2,041 papers of the Elamur Research library cite «Dropout: A Simple Way to Prevent Neural Networks from Overfitting», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Dropout: A Simple Way to Prevent Neural Networks…](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/) / [cited by](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/) / page 3

# Who cites «Dropout: A Simple Way to Prevent Neural Networks from Overfitting»

2,041 papers of our library cite it (of the 149,439 whose bibliographies we read) · 242 with a page here, the most cited first · page 3 of 3 · 201–242 · [← back to «Dropout: A Simple Way to Prevent Neural Networks from Overfitting»](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/)

[← prev](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/2/) **3**

201. **[CEASE, a Corpus of Emotion Annotated Suicide notes in English](https://md.research.elamur.ai/free/en/papers/ghosh-2020-cease-corpus-emotion-annotated-suicide/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya*2020 · 23 citations*
202. **[Deep Cross-Lingual Coreference Resolution for Less-Resourced Languages: The Case of Basque](https://md.research.elamur.ai/free/en/papers/urbizu-2019-deep-cross-lingual-coreference-resolution/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Gorka Urbizu, Ander Soraluze, Olatz Arregi*2019 · 20 citations*
203. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
204. **[A Unified Model for Arabizi Detection and Transliteration using Sequence-to-Sequence Models](https://md.research.elamur.ai/free/en/papers/shazal-2020-unified-model-arabizi-detection-transliteration/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ali Shazal, Aiza Usman, Nizar Habash*2020 · 19 citations*
205. **[Deep Neural Networks for Coreference Resolution for Polish](https://md.research.elamur.ai/free/en/papers/niton-2018-deep-neural-networks-coreference-resolution/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bartłomiej Nitoń, Paweł Morawiecki, Maciej Ogrodniczuk*2018 · 19 citations*
206. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph-2021-findings-emnlp-408/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joan Plepi, Lucie Flek*2021 · 18 citations*
207. **[Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization](https://md.research.elamur.ai/free/en/papers/alkhamissi-2020-deep-diacritization-efficient-hierarchical-recurrence/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Badr AlKhamissi, Muhammad ElNokrashy, Mohamed Gabr*2020 · 18 citations*
208. [**AraSpell: A Deep Learning Approach for Arabic Spelling Correction arXiv:2405.06981**Mahmoud Salhab, Faisal Abu-Khzam*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/salhab-2024-araspell-deep-learning-approach-arabic/)
209. **[X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaqian Han, Yekun Chai, Shuohuan Wang, et al.*2022 · 15 citations*
210. **[Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training](https://md.research.elamur.ai/free/en/papers/wan-2018-improved-dynamic-memory-network-dialogue/) [IEEE International Conference on Big Data (BigData)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-big-data-bigdata/)**Yao Wan, Wenqiang Yan, Jianwei Gao, et al.*2018 · 14 citations*
211. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/)
212. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Joan Plepi, Lucie Flek*2021 · 11 citations*
213. [**Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers**Andre Cianflone, Yulan Feng, Jad Kabbara, et al.*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/cianflone-2018-let-s-do-it-again/)
214. [**Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF arXiv:2309.09055**Simeng Sun, Dhawal Gupta, Mohit Iyyer*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-exploring-impact-low-rank-adaptation/)
215. **[A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System](https://md.research.elamur.ai/free/en/papers/zhao-2018-unified-neural-architecture-joint-dialog/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Tianyu Zhao, Tatsuya Kawahara*2018 · 8 citations*
216. **[FinSentiA: Sentiment Analysis in English Financial Microblogs](https://md.research.elamur.ai/free/en/papers/gaillat-2018-finsentia-sentiment-analysis-english-financial/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Thomas Gaillat, Annanda Sousa, Manel Zarrouk, et al.*2018 · 8 citations*
217. **[ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models](https://md.research.elamur.ai/free/en/papers/lamsiyah-2025-arabicsense-benchmark-evaluating-commonsense-reasoning/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Salima Lamsiyah, Kamyar Zeinalipour, Samir El amrany, et al.*2025 · 7 citations*
218. **[Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Elisa Gugliotta, Marco Dinarelli, Olivier Kraif*2020 · 7 citations*
219. **[Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/hamad-2025-konooz-multi-domain-multi-dialect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nagham Hamad, Mohammed Khalilia, Mustafa Jarrar*2025 · 6 citations*
220. [**Diacritization of Maghrebi Arabic Sub-Dialects arXiv:1810.06619**Ahmed Abdelali, Mohammed Attia, Younes Samih, et al.*2018 · 6 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2018-diacritization-maghrebi-arabic-sub-dialects/)
221. **[Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning](https://md.research.elamur.ai/free/en/papers/chen-2022-automatically-detecting-reduced-formed-english/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Lei Chen, Chenglin Jiang, Yiwei Gu, et al.*2022 · 4 citations*
222. **[Annotated Corpus of Tweets in English from Various Domains for Emotion Detection](https://md.research.elamur.ai/free/en/papers/ghosh-2020-annotated-corpus-tweets-english-various/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, et al.*2020 · 4 citations*
223. **[AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss](https://md.research.elamur.ai/free/en/papers/daif-2020-aradic-arabic-document-classification-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi*2020 · 4 citations*
224. **[Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation](https://md.research.elamur.ai/free/en/papers/ribeiro-2020-automatic-recognition-general-purpose-communicative/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2020 · 4 citations*
225. **[SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging](https://md.research.elamur.ai/free/en/papers/ali-2021-sipos-benchmark-dataset-sindhi-part/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Wazir Ali, Zenglin Xu, Jay Kumar*2021 · 3 citations*
226. [**Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches**Tianze Shi, Lillian Lee*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-extracting-headless-mwes-dependency-parse/)
227. **[IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets](https://md.research.elamur.ai/free/en/papers/taylor-2018-iiidyt-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, et al.*2018 · 3 citations*
228. **[IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry](https://md.research.elamur.ai/free/en/papers/smadi-2025-integrityai-genai-detection-task-2/) [1stWorkshop on GenAI Content Detection (GenAIDetect)](https://md.research.elamur.ai/free/en/venues/genaidetect/)**Mohammad AL-Smadi*2025 · 2 citations*
229. **[Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection](https://md.research.elamur.ai/free/en/papers/san-2018-random-decision-syntax-trees-semeval/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aidan San*2018 · 2 citations*
230. **[Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics](https://md.research.elamur.ai/free/en/papers/shihab-2026-beyond-variance-knowledge-aware-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma*2026 · 1 citation*
231. [**Automated detection of pronunciation errors in non-native English speech employing deep learning arXiv:2209.06265**Daniel Korzekwa*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/korzekwa-2022-automated-detection-pronunciation-errors-non/)
232. **[Utterance Position-Aware Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/yano-2021-utterance-position-aware-dialogue-act/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Yuki Yano, Akihiro Tamura, Takashi Ninomiya, et al.*2021 · 1 citation*
233. [**Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech arXiv:2002.00205**Xu Li, Xixin Wu, Xunying Liu, et al.*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/li-2020-deep-segmental-phonetic-posterior-grams/)
234. **[Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes](https://md.research.elamur.ai/free/en/papers/monsur-2026-event-detection-context-aware-encoder/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim*2026*
235. **[Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust](https://md.research.elamur.ai/free/en/papers/subramani-2026-harnessing-latent-space-steering-vectors/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Nishant Subramani*2026*
236. **[Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach](https://md.research.elamur.ai/free/en/papers/nishide-2026-mitigating-degree-bias-hypergraphs-attribute/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ryusei Nishide, Makoto Miwa*2026*
237. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
238. **[SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection](https://md.research.elamur.ai/free/en/papers/stefan-2026-sg-unibuc-nlp-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Gabriel Stefan, Sergiu Nisioi*2026*
239. **[Simulating Sense Extension](https://md.research.elamur.ai/free/en/papers/maudslay-2026-simulating-sense-extension/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rowan Hall Maudslay, Simone Teufel*2026*
240. **[Tandem Training for Language Models](https://md.research.elamur.ai/free/en/papers/west-2026-tandem-training-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Robert West, Ashton Anderson, Ece Kamar, et al.*2026*
241. [**Towards Robust Arabic Speech Emotion Recognition with Deep Learning arXiv:2606.10278**Youcef Soufiane Gheffari, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-towards-robust-arabic-speech-emotion/)
242. [**Detecting Interrogative Utterances with Recurrent Neural Networks arXiv:1511.01042**Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla*2015*](https://md.research.elamur.ai/free/en/papers/chung-2015-detecting-interrogative-utterances-recurrent-neural/)

[← prev](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/cited-by/page/2/) **3**

1,799 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/srivastava-2014-dropout-simple-way-prevent/) — Dropout: A Simple Way to Prevent Neural Networks from Overfitting
