---
title: "Who cites ImageNet — page 2 — 2,047 citing papers"
description: "2,047 papers of the Elamur Research library cite «ImageNet Classification with Deep Convolutional Neural Networks», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ImageNet Classification with Deep Convolutional…](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/) / [cited by](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/) / page 2

# Who cites «ImageNet Classification with Deep Convolutional Neural Networks»

2,047 papers of our library cite it (of the 149,439 whose bibliographies we read) · 139 with a page here, the most cited first · page 2 of 2 · 101–139 · [← back to «ImageNet Classification with Deep Convolutional Neural Networks»](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/)

[← prev](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/) **2**

101. [**Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision arXiv:2312.09390**Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/burns-2023-weak-strong-generalization-eliciting-strong/)
102. **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations*
103. **[Data Augmentation via Dependency Tree Morphing for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/sahin-2018-data-augmentation-dependency-tree-morphing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gözde Gül Şahin, Mark Steedman*2018 · 171 citations*
104. **[Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation](https://md.research.elamur.ai/free/en/papers/kumar-2019-submodular-optimization-based-diverse-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, et al.*2019 · 167 citations*
105. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
106. **[Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 141 citations*
107. **[Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-be-careful-about-poisoned-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.*2021 · 135 citations*
108. [**Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast arXiv:2211.02556**Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/bi-2022-pangu-weather-3d-high/)
109. **[Data Augmentation for Morphological Reinflection](https://md.research.elamur.ai/free/en/papers/silfverberg-2017-data-augmentation-morphological-reinflection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.*2017 · 122 citations*
110. **[MoEfication: Transformer Feed-forward Layers are Mixtures of Experts](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.*2022 · 115 citations*
111. **[RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-rap-robustness-aware-perturbations-defending/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenkai Yang, Yankai Lin, Peng Li, et al.*2021 · 112 citations*
112. [**The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages**Dingquan Wang, Jason Eisner*2016 · 99 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-galactic-dependencies-treebanks-getting-more/)
113. [**TextGrad: Automatic "Differentiation" via Text arXiv:2406.07496**Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.*2024 · 96 citations*](https://md.research.elamur.ai/free/en/papers/yuksekgonul-2024-textgrad-automatic-differentiation-text/)
114. **[Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding](https://md.research.elamur.ai/free/en/papers/hou-2018-sequence-sequence-data-augmentation-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yutai Hou, Yijia Liu, Wanxiang Che, et al.*2018 · 88 citations*
115. **[Interpreting Neural Networks to Improve Politeness Comprehension](https://md.research.elamur.ai/free/en/papers/aubakirova-2016-interpreting-neural-networks-improve-politeness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Malika Aubakirova, Mohit Bansal*2016 · 87 citations*
116. **[A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*
117. [**ReLoRA: High-Rank Training Through Low-Rank Updates arXiv:2307.05695**Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.*2023 · 74 citations*](https://md.research.elamur.ai/free/en/papers/lialin-2023-relora-high-rank-training-through/)
118. **[Character Level Convolutional Neural Network for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohamed Ali*2018 · 52 citations*
119. [**Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning arXiv:2408.14158**Wei An, Xiao Bi, Guanting Chen, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/an-2024-fire-flyer-ai-hpc/)
120. **[Multimodal Semantic Learning from Child-Directed Input](https://md.research.elamur.ai/free/en/papers/lazaridou-2016-multimodal-semantic-learning-child-directed/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernández, et al.*2016 · 29 citations*
121. **[An AI system to help scientists write expert-level empirical software](https://md.research.elamur.ai/free/en/papers/aygun-2025-ai-system-help-scientists/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.*2025 · 27 citations*
122. **[A New Amharic Speech Emotion Dataset and Classification Benchmark](https://md.research.elamur.ai/free/en/papers/retta-2022-new-amharic-speech-emotion-dataset/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Ephrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe, et al.*2022 · 23 citations*
123. **[Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/jindal-2018-generating-image-captions-arabic-root/) [Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop](https://md.research.elamur.ai/free/en/venues/conference-of-the-north-american-chapter-of-the-association-for-computational/)**Vasu Jindal*2018 · 23 citations*
124. **[Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages](https://md.research.elamur.ai/free/en/papers/retta-2023-cross-corpus-multilingual-speech-emotion/) [Applied Sciences](https://md.research.elamur.ai/free/en/venues/applied-sciences/)**Ephrem Afele Retta, Richard Sutcliffe, Jabar Mahmood, et al.*2023 · 17 citations*
125. **[AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Anshul Wadhawan*2021 · 11 citations*
126. **[The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation Analysis](https://md.research.elamur.ai/free/en/papers/mueller-2026-quest-right-mediator-surveying-mechanistic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Aaron Mueller, Jannik Brinkmann, Millicent Li, et al.*2026 · 7 citations*
127. **[Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-dialect-identification-nuanced-arabic-tweets/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Anshul Wadhawan*2021 · 7 citations*
128. **[Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations](https://md.research.elamur.ai/free/en/papers/alsudais-2018-image-classification-arabic-assessing-accuracy/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Abdulkareem Alsudais*2018 · 6 citations*
129. [**AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge arXiv:2102.09828**Houjun Huang, Xu Xiang, Yexin Yang, et al.*2021 · 5 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-aispeech-sjtu-accent-identification-system/)
130. **[Arabic Named Entity Recognition Using Variant Deep Neural Network Architectures and Combinatorial Feature Embedding Based on CNN, LSTM and BERT](https://md.research.elamur.ai/free/en/papers/affi-2022-arabic-named-entity-recognition-variant/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Manel Affi, Chiraz Latiri*2022 · 3 citations*
131. [**Role of Intonation in Scoring Spoken English arXiv:1808.07688**Amber Nigam, Arpan Saxena, Ishan Sodhi*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nigam-2018-role-intonation-scoring-spoken-english/)
132. [**A Generative Grammar Underlying the Voynich Manuscript, the Pastiche Hypothesis: Evidence from Large Language Models arXiv:2609.20835**Nicolas Turenne*2026*](https://md.research.elamur.ai/free/en/papers/turenne-2026-generative-grammar-underlying-voynich-manuscript/)
133. **[Free-Gaza at NakbaArchiveClassifier Shared Task: Towards Distinguishing the Destructive Effect of Nakba: NakbaImage Classification Using Artificial Intelligence Techniques](https://md.research.elamur.ai/free/en/papers/yassin-2026-free-gaza-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Nisreen I. R. Yassin, Enas A. Hakim Khalil*2026*
134. **[No Overfit at NakbaArchiveClassifier Shared Task: A Swin Transformer-Based System for Destruction Image Classification](https://md.research.elamur.ai/free/en/papers/mohamed-2026-no-overfit-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Mohamed Fathy Mohamed, Samar Mahmoud Abd El-Mageed, Ensaf Mohamed*2026*
135. **[Oblevit at AR-MS NAKBA NLP 2026 Subtask 2: Hybrid CNN–BiLSTM–CTC Framework with Linguistic Refinement for Arabic Handwritten Manuscript Recognition](https://md.research.elamur.ai/free/en/papers/juhaysh-2026-oblevit-ar-ms-nakba-nlp/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Reem Juhaysh, Abuelgasim Sami Abusonoun, Sara Ayad*2026*
136. [**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/)
137. [**YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks arXiv:2604.05011**Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/al-makhlafi-2026-ymir-new-benchmark-dataset-model/)
138. **[Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*
139. **[Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*

[← prev](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/cited-by/) **2**

1908 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/krizhevsky-2012-imagenet-classification-deep-convolutional/) — ImageNet Classification with Deep Convolutional Neural Networks