Elamur Research⌕
☰
home / authors / Richard S. Zemel / cited by

Who cites Richard S. Zemel

4,711 citations of their works from 4,143 papers of our library (of the 149,439 whose bibliographies we read) · 622 with a page here, the most cited first · page 1 of 7 · 1–100 · ← Richard S. Zemel

1 2 … 7

  1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citations
  3. Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2019 · 17,096 citations
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  5. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
  6. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  7. Effective Approaches to Attention-based Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Hieu Pham, Christopher D. Manning2015 · 9,718 citations
  8. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  9. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
  10. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  11. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  12. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,276 citations
  13. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
  14. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterarXiv:1910.01108Victor Sanh, Lysandre Debut, Julien Chaumond, et al.2019 · 6,751 citations
  15. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
  16. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
  17. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsInternational Journal of Computer VisionRanjay Krishna, Yuke Zhu, Oliver Groth, et al.2016 · 5,876 citations
  18. A Survey on Bias and Fairness in Machine LearningACM Computing SurveysNinareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.2019 · 5,638 citations
  19. Hierarchical Attention Networks for Document ClassificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zichao Yang, Diyi Yang, Chris Dyer, et al.2016 · 5,436 citations
  20. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  21. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
  22. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  23. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
  24. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
  25. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingarXiv:1906.08237Zhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,857 citations
  26. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  27. Categorical Reparameterization with Gumbel-SoftmaxarXiv:1611.01144Eric Jang, Shixiang Gu, Ben Poole2016 · 3,656 citations
  28. Measuring Massive Multitask Language UnderstandingarXiv:2009.03300Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 3,620 citations
  29. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 citations
  30. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mandar Joshi, Eunsol Choi, Daniel Weld, et al.2017 · 3,263 citations
  31. Towards A Rigorous Science of Interpretable Machine LearningarXiv:1702.08608Finale Doshi-Velez, Been Kim2017 · 3,226 citations
  32. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  33. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksIEEE International Conference on Computer Vision (ICCV)Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  34. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  35. Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 3,028 citations
  36. A Diversity-Promoting Objective Function for Neural Conversation ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 2,960 citations
  37. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  38. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
  39. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  40. Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsarXiv:1401.4082Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra2014 · 2,765 citations
  41. Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingarXiv:2007.15779Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon2020 · 2,674 citations
  42. SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,616 citations
  43. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
  44. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingarXiv:2205.11487Chitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,533 citations
  45. OpenNMT: Open-Source Toolkit for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,475 citations
  46. Generating Sentences from a Continuous SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,435 citations
  47. Self-critical Sequence Training for Image CaptioningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSteven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.2016 · 2,404 citations
  48. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Piyush Sharma, Nan Ding, Sebastian Goodman, et al.2018 · 2,348 citations
  49. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  50. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  51. Equality of Opportunity in Supervised LearningarXiv:1610.02413Moritz Hardt, Eric Price, Nathan Srebro2016 · 2,262 citations
  52. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
  53. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  54. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Zhou, Wei Shi, Jun Tian, et al.2016 · 2,219 citations
  55. Stacked Attention Networks for Image Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionZichao Yang, Xiaodong He, Jianfeng Gao, et al.2015 · 2,157 citations
  56. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsarXiv:1607.06520Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.2016 · 2,079 citations
  57. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
  58. Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksLecture notes in computer scienceXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,877 citations
  59. Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringConference on Neural Information Processing Systems (NeurIPS)Michael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,861 citations
  60. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  61. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationInternational Workshop on Semantic Evaluation (SemEval)Daniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,828 citations
  62. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  63. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  64. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  65. Deep Unsupervised Learning using Nonequilibrium ThermodynamicsarXiv:1503.03585Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al.2015 · 1,761 citations
  66. 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
  67. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  68. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Chia-Wei Liu, Ryan Lowe, Iulian Serban, et al.2016 · 1,752 citations
  69. Language (Technology) is Power: A Critical Survey of “Bias” in NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,716 citations
  70. Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2015 · 1,686 citations
  71. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
  72. The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesarXiv:1611.00712Chris J. Maddison, Andriy Mnih, Yee Whye Teh2016 · 1,629 citations
  73. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,615 citations
  74. REALM: Retrieval-Augmented Language Model Pre-TrainingarXiv:2002.08909Kelvin Guu, Kenton Lee, Zora Tung, et al.2020 · 1,580 citations
  75. Universal Sentence Encoder for EnglishConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,546 citations
  76. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention TransferarXiv:1612.03928Sergey Zagoruyko, Nikos Komodakis2016 · 1,542 citations
  77. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
  78. LAION-5B: An open large-scale dataset for training next generation image-text modelsarXiv:2210.08402Christoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,485 citations
  79. 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
  80. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
  81. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  82. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  83. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  84. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
  85. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  86. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,330 citations
  87. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2020 · 1,322 citations
  88. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  89. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings of the Association for Computational LinguisticsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,306 citations
  90. AraBERT: Transformer-based Model for Arabic Language UnderstandingarXiv:2003.00104Wissam Antoun, Fady Baly, Hazem Hajj2020 · 1,304 citations
  91. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  92. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question AnsweringInternational Journal of Computer VisionYash Goyal, Tejas Khot, Douglas Summers-Stay, et al.2016 · 1,281 citations
  93. Attention is not not ExplanationConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Yuval Pinter2019 · 1,208 citations
  94. "Why Should I Trust You?": Explaining the Predictions of Any ClassifierarXiv:1602.04938Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin2016 · 1,205 citations
  95. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  96. Aspect Level Sentiment Classification with Deep Memory NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2016 · 1,197 citations
  97. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
  98. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
  99. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  100. StereoSet: Measuring stereotypical bias in pretrained language modelsAnnual Meeting of the Association for Computational Linguistics (ACL)Moin Nadeem, Anna Bethke, Siva Reddy2021 · 1,141 citations

1 2 … 7

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/richard-s-zemel/cited-by/