Elamur Research⌕
☰
home / authors / Geoffrey E. Hinton / cited by / page 5

Who cites Geoffrey E. Hinton

11,868 citations of their works from 10,217 papers of our library (of the 149,439 whose bibliographies we read) · 1,205 with a page here, the most cited first · page 5 of 13 · 401–500 · ← Geoffrey E. Hinton

1 … 4 5 6 … 10 … 13

  1. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
  2. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  3. How to Construct Deep Recurrent Neural NetworksarXiv:1312.6026Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, et al.2013 · 302 citations
  4. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  5. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  6. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
  7. Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
  8. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  9. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
  10. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  11. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  12. A Hierarchical Neural Autoencoder for Paragraphs and DocumentsarXiv:1506.01057Jiwei Li, Minh-Thang Luong, Dan Jurafsky2015 · 287 citations
  13. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsarXiv:1610.02424Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, et al.2016 · 282 citations
  14. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringarXiv:1911.10470Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 280 citations
  15. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
  16. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  17. What do RNN Language Models Learn about Filler-Gap Dependencies?arXiv:1809.00042Ethan Wilcox, Roger Levy, Takashi Morita, et al.2018 · 278 citations
  18. Logic Tensor NetworksArtificial IntelligenceSamy Badreddine, Artur d'Avila Garcez, Luciano Serafini, et al.2020 · 276 citations
  19. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingarXiv:2007.07834Zewen Chi, Li Dong, Furu Wei, et al.2020 · 275 citations
  20. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  21. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
  22. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  23. LongLoRA: Efficient Fine-tuning of Long-Context Large Language ModelsarXiv:2309.12307Yukang Chen, Shengju Qian, Haotian Tang, et al.2023 · 268 citations
  24. Retentive Network: A Successor to Transformer for Large Language ModelsarXiv:2307.08621Yutao Sun, Li Dong, Shaohan Huang, et al.2023 · 265 citations
  25. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScalearXiv:2201.05596Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 261 citations
  26. Membership Inference Attacks against Machine Learning ModelsarXiv:1610.05820Reza Shokri, Marco Stronati, Congzheng Song, et al.2016 · 259 citations
  27. Once-for-All: Train One Network and Specialize it for Efficient DeploymentarXiv:1908.09791Han Cai, Chuang Gan, Tianzhe Wang, et al.2019 · 252 citations
  28. Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitecturearXiv:2306.16092Jiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 248 citations
  29. Improved Knowledge Distillation via Teacher AssistantarXiv:1902.03393Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, et al.2019 · 248 citations
  30. Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 247 citations
  31. Order Matters: Sequence to sequence for setsarXiv:1511.06391Oriol Vinyals, Samy Bengio, Manjunath Kudlur2015 · 245 citations
  32. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  33. A simple but tough-to-beat baseline for the Fake News Challenge stance detection taskarXiv:1707.03264Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis, et al.2017 · 242 citations
  34. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  35. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
  36. What learning algorithm is in-context learning? Investigations with linear modelsarXiv:2211.15661Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 236 citations
  37. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations

1 … 4 5 6 … 10 … 13

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/geoffrey-e-hinton/cited-by/page/5/