🧑‍🔬 Who cites Andriy Mnih

590 citations of their works from 558 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · ← Andriy Mnih

1. GloVe: Global Vectors for Word RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Jeffrey Pennington, Richard Socher, Christopher Manning2014 · 38,706 citations
2. Dropout: A Simple Way to Prevent Neural Networks from OverfittingJMLR 15(56):1929–1958Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, et al.2014 · 34,422 citations
3. Efficient Estimation of Word Representations in Vector SpacearXiv:1301.3781Tomas Mikolov, Kai Chen, Greg Corrado, et al.2013 · 28,759 citations
4. Distributed Representations of Words and Phrases and their CompositionalityarXiv:1310.4546Tomas Mikolov, Ilya Sutskever, Kai Chen, et al.2013 · 21,623 citations
5. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
6. Categorical Reparameterization with Gumbel-SoftmaxarXiv:1611.01144Eric Jang, Shixiang Gu, Ben Poole2016 · 3,656 citations
7. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
8. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, David Talbot, Fedor Moiseev, et al.2019 · 1,535 citations
9. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
10. From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
11. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.2018 · 1,405 citations
12. A Primer on Neural Network Models for Natural Language ProcessingJournal of Artificial Intelligence ResearchYoav Goldberg2015 · 1,303 citations
13. On Using Very Large Target Vocabulary for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Sébastien Jean, Kyunghyun Cho, Roland Memisevic, et al.2015 · 1,013 citations
14. Matching the Blanks: Distributional Similarity for Relation LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.2019 · 999 citations
15. Style Transfer from Non-Parallel Text by Cross-AlignmentTianxiao Shen, Tao Lei, Regina Barzilay, et al.2017 · 979 citations
16. Using the Output Embedding to Improve Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ofir Press, Lior Wolf2017 · 909 citations
17. Curriculum LearningYoshua Bengio, Jérôme Louradour, Ronan Collobert, et al.2009 · 724 citations
18. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
19. Learning Word Vectors for 157 LanguagesLanguage Resources and Evaluation Conference (LREC)Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.2018 · 646 citations
20. Advances in Pre-Training Distributed Word RepresentationsLanguage Resources and Evaluation Conference (LREC)Tomas Mikolov, Edouard Grave, Piotr Bojanowski, et al.2017 · 628 citations
21. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.2015 · 471 citations
22. End-to-end learning of semantic role labeling using recurrent neural networksAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Zhou, Wei Xu2015 · 466 citations
23. Representation Learning: A Review and New PerspectivesarXiv:1206.5538Yoshua Bengio, Aaron Courville, Pascal Vincent2012 · 383 citations
24. Improving Lexical Embeddings with Semantic KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Mo Yu, Mark Dredze2014 · 371 citations
25. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
26. Semi-supervised Multitask Learning for Sequence LabelingAnnual Meeting of the Association for Computational Linguistics (ACL)Marek Rei2017 · 347 citations
27. Decoding with Large-Scale Neural Language Models Improves TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al.2013 · 318 citations
28. What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesConference on Neural Information Processing Systems (NeurIPS)Shivam Garg, Dimitris Tsipras, Percy Liang, et al.2022 · 209 citations
29. CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersInternational Conference on Computational Linguistics (COLING)Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.2020 · 206 citations
30. Efficient softmax approximation for GPUsarXiv:1609.04309Edouard Grave, Armand Joulin, Moustapha Cisse, et al.2016 · 205 citations
31. A Neural Knowledge Language ModelarXiv:1608.00318Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, et al.2016 · 146 citations
32. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
33. RADAR: Robust AI-Text Detection via Adversarial LearningConference on Neural Information Processing Systems (NeurIPS)Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho2023 · 134 citations
34. Scaling Deep Contrastive Learning Batch Size under Memory Limited SetupWorkshop on Representation Learning for NLPLuyu Gao, Yunyi Zhang, Jiawei Han, et al.2021 · 131 citations
35. Controllable Natural Language Generation with Contrastive PrefixesFindings of the Association for Computational LinguisticsJing Qian, Li Dong, Yelong Shen, et al.2022 · 130 citations
36. Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?Findings of the Association for Computational LinguisticsPeter Hase, Shiyue Zhang, Harry Xie, et al.2020 · 126 citations
37. Online normalizer calculation for softmaxarXiv 2018 (NVIDIA)Maxim Milakov, Natalia Gimelshein2018 · 123 citations
38. User Behavior Simulation with Large Language Model based AgentsarXiv:2306.02552Lei Wang, Jingsen Zhang, Hao Yang, et al.2023 · 64 citations
39. Neural Lattice Language ModelsTransactions of the Association for Computational Linguistics (TACL)Jacob Buckman, Graham Neubig2018 · 35 citations
40. Detecting Institutional Dialog Acts in Police Traffic StopsTransactions of the Association for Computational Linguistics (TACL)Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, et al.2018 · 20 citations
41. MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based TokenizationConference on Neural Information Processing Systems (NeurIPS)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2024 · 19 citations
42. Probabilistic Modelling of Morphologically Rich LanguagesJan A. Botha2015 · 4 citations
43. DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsArabic Natural Language Processing Workshop (WANLP)Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, et al.2021 · 3 citations
44. Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Yinuo Xu, Veronica Derricks, Allison Earl, et al.2026 · 1 citation
45. Context-Conditioned Masked LoRA: Dynamic Rank Routing for Compute-Efficient Parameter-Efficient Fine-TuningFindings of the Association for Computational LinguisticsRifat Rafiuddin, Rafae Abdullah2026
46. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.2026
47. MaskLoRA: Low-Rank Subspace–Induced Token Masking for Efficient and Faithful Language ModelsFindings of the Association for Computational LinguisticsRifat Rafiuddin2026
48. Algorithmes à base d'échantillonage pour l'entraînement de modèles de langue neuronaux (Here the title in English)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Matthieu Labeau, Alexandre Allauzen2018

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