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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) · 1123 with a page here, the most cited first · page 6 of 12 · 501–600 · ← back to «Adam: A Method for Stochastic Optimization»

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  1. SantaCoder: don't reach for the stars!arXiv:2301.03988Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.2023 · 167 citations
  2. Target-Guided Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.2019 · 166 citations
  3. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations
  4. Neural Language Correction with Character-Based AttentionarXiv:1603.09727Ziang Xie, Anand Avati, Naveen Arivazhagan, et al.2016 · 164 citations
  5. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
  6. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
  7. Unsupervised Translation of Programming LanguagesarXiv:2006.03511Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.2020 · 160 citations
  8. Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic ScaffoldarXiv:1706.09528Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al.2017 · 160 citations
  9. Semantic Neural Machine Translation Using AMRLinfeng Song, Daniel Gildea, Yue Zhang, et al.2019 · 159 citations
  10. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  11. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeecharXiv:1904.02882Heiga Zen, Viet Dang, Rob Clark, et al.2019 · 153 citations
  12. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  13. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
  14. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
  15. AudioLDM: Text-to-Audio Generation with Latent Diffusion ModelsarXiv:2301.12503Haohe Liu, Zehua Chen, Yi Yuan, et al.2023 · 147 citations
  16. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations
  17. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
  18. Deep Network Guided Proof SearcharXiv:1701.06972 (In Thomas Eiter and David Sands, editors, 21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR-21). EPiC Series in Computing, vol. 46, pages 85-105, EasyChair, 2017. ISSN 2398-7340)Sarah Loos, Geoffrey Irving, Christian Szegedy, et al.2017 · 139 citations
  19. Deep Learning for Symbolic MathematicsarXiv:1912.01412Guillaume Lample, François Charton2019 · 138 citations
  20. Lost in Translation: Loss and Decay of Linguistic Richness in Machine TranslationProceedings of Machine Translation Summit XVII: Research TrackEva Vanmassenhove, Dimitar Shterionov, Andy Way2019 · 137 citations
  21. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  22. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 129 citations

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