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Who cites «Adam: A Method for Stochastic Optimization»

10,909 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1011 with a page here, the most cited first · page 2 of 11 · 101–200 · ← back to «Adam: A Method for Stochastic Optimization»

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  1. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 777 citations
  2. ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday TasksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox2019 · 765 citations
  3. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 692 citations
  4. Passage Re-ranking with BERTarXiv:1901.04085Rodrigo Nogueira, Kyunghyun Cho2019 · 678 citations
  5. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
  6. Unsupervised Machine Translation Using Monolingual Corpora OnlyarXiv:1711.00043Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.2017 · 669 citations
  7. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
  8. On Using Monolingual Corpora in Neural Machine TranslationarXiv:1503.03535Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al.2015 · 639 citations
  9. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  10. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
  11. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  12. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelarXiv:2201.11990Shaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 615 citations
  13. 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
  14. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksarXiv:1608.04207Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.2016 · 599 citations
  15. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  16. Dynamic Coattention Networks For Question AnsweringarXiv:1611.01604Caiming Xiong, Victor Zhong, Richard Socher2016 · 596 citations
  17. OCR-free Document Understanding TransformerLecture notes in computer scienceGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 584 citations
  18. Neural Legal Judgment Prediction in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras2019 · 559 citations
  19. SearchQA: A New Q&A Dataset Augmented with Context from a Search EnginearXiv:1704.05179Matthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 555 citations
  20. Machine Comprehension Using Match-LSTM and Answer PointerarXiv:1608.07905Shuohang Wang, Jing Jiang2016 · 541 citations
  21. HDLTex: Hierarchical Deep Learning for Text ClassificationICMLA 2017Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, et al.2017 · 532 citations
  22. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  23. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  24. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  25. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  26. Defending Against Neural Fake NewsarXiv:1905.12616Rowan Zellers, Ari Holtzman, Hannah Rashkin, et al.2019 · 478 citations
  27. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  28. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  29. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTarXiv:1904.09077Shijie Wu, Mark Dredze2019 · 471 citations
  30. 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
  31. Deep Keyphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Meng, Sanqiang Zhao, Shuguang Han, et al.2017 · 454 citations
  32. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
  33. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations

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