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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 2 of 7 · 101–200 · ← Richard S. Zemel

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  1. Neural Module NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2015 · 1,140 citations
  2. SemEval-2018 Task 1: Affect in TweetsInternational Workshop on Semantic Evaluation (SemEval)Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,094 citations
  3. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  4. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  5. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
  6. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
  7. ERNIE: Enhanced Representation through Knowledge IntegrationarXiv:1904.09223Yu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 962 citations
  8. MPNet: Masked and Permuted Pre-training for Language UnderstandingarXiv:2004.09297Kaitao Song, Xu Tan, Tao Qin, et al.2020 · 957 citations
  9. Patient Knowledge Distillation for BERT Model CompressionarXiv:1908.09355Siqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 947 citations
  10. DRAW: A Recurrent Neural Network For Image GenerationarXiv:1502.04623Karol Gregor, Ivo Danihelka, Alex Graves, et al.2015 · 947 citations
  11. CIDEr: Consensus-based Image Description EvaluationarXiv:1411.5726Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 827 citations
  12. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
  13. Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingarXiv:1506.07285Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.2015 · 801 citations
  14. Show and Tell: A Neural Image Caption GeneratorarXiv:1411.4555Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.2014 · 729 citations
  15. The Goldilocks Principle: Reading Children's Books with Explicit Memory RepresentationsarXiv:1511.02301Felix Hill, Antoine Bordes, Sumit Chopra, et al.2015 · 708 citations
  16. Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citations
  17. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersarXiv:2002.01808Ruize Wang, Duyu Tang, Nan Duan, et al.2020 · 666 citations
  18. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
  19. A simple neural network module for relational reasoningarXiv:1706.01427Adam Santoro, David Raposo, David G. T. Barrett, et al.2017 · 632 citations
  20. Object Hallucination in Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP)Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.2018 · 626 citations
  21. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
  22. Deep Visual-Semantic Alignments for Generating Image DescriptionsarXiv:1412.2306Andrej Karpathy, Li Fei-Fei2014 · 608 citations
  23. What do you learn from context? Probing for sentence structure in contextualized word representationsarXiv:1905.06316Ian Tenney, Patrick Xia, Berlin Chen, et al.2019 · 602 citations
  24. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksarXiv:1608.04207Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.2016 · 599 citations
  25. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  26. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
  27. Neural Legal Judgment Prediction in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras2019 · 559 citations
  28. Style Transfer Through Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.2018 · 558 citations
  29. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  30. RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
  31. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  32. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  33. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 503 citations
  34. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  35. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  36. Texygen: A Benchmarking Platform for Text Generation ModelsarXiv:1802.01886Yaoming Zhu, Sidi Lu, Lei Zheng, et al.2018 · 495 citations
  37. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  38. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  39. In-context Learning and Induction HeadsarXiv:2209.11895Catherine Olsson, Nelson Elhage, Neel Nanda, et al.2022 · 475 citations
  40. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  41. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  42. Exploring Models and Data for Image Question AnsweringarXiv:1505.02074Mengye Ren, Ryan Kiros, Richard Zemel2015 · 455 citations

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