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Transformer (deep learning architecture) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Transformer (deep learning architecture)" in English language version.

refsWebsite
Global rank English rank
64arxiv.org
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18doi.org
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12web.archive.org
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11worldcat.org
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7neurips.cc
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6nih.gov
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5semanticscholar.org
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3mlr.press
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3googleblog.com
1,272nd place
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3aclanthology.org
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3openai.com
1,559th place
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3research.google
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2github.com
383rd place
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2acm.org
1,185th place
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2huggingface.co
low place
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2stanford.edu
179th place
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1harvard.edu
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1sciencedirect.com
149th place
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1optica.org
low place
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1archive.org
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1cogprints.org
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1escholarship.org
1,523rd place
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1nytimes.com
7th place
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1wired.com
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1newyorker.com
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1searchengineland.com
7,076th place
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1technologyreview.com
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1thecvf.com
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1indico.io
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1jalammar.github.io
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1keras.io
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1aclweb.org
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6,793rd place
1jmlr.org
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1vllm.ai
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1princeton-nlp.github.io
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1together.ai
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1modal.com
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1notion.site
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1isca-archive.org
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1aaai.org
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1lmsys.org
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aaai.org (Global: 9,352nd place; English: 5,696th place)

ojs.aaai.org

aclanthology.org (Global: low place; English: low place)

aclweb.org (Global: low place; English: 6,793rd place)

acm.org (Global: 1,185th place; English: 840th place)

dl.acm.org

archive.org (Global: 6th place; English: 6th place)

arxiv.org (Global: 69th place; English: 59th place)

  • Bahdanau; Cho, Kyunghyun; Bengio, Yoshua (September 1, 2014). "Neural Machine Translation by Jointly Learning to Align and Translate". arXiv:1409.0473 [cs.CL].
  • Luong, Minh-Thang; Pham, Hieu; Manning, Christopher D. (August 17, 2015). "Effective Approaches to Attention-based Neural Machine Translation". arXiv:1508.04025 [cs.CL].
  • Chen, Lili; Lu, Kevin; Rajeswaran, Aravind; Lee, Kimin; Grover, Aditya; Laskin, Michael; Abbeel, Pieter; Srinivas, Aravind; Mordatch, Igor (2021-06-24), Decision Transformer: Reinforcement Learning via Sequence Modeling, arXiv:2106.01345
  • Radford, Alec; Jong Wook Kim; Xu, Tao; Brockman, Greg; McLeavey, Christine; Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS].
  • Ruoss, Anian; Delétang, Grégoire; Medapati, Sourabh; Grau-Moya, Jordi; Wenliang, Li; Catt, Elliot; Reid, John; Genewein, Tim (2024-02-07). "Grandmaster-Level Chess Without Search". arXiv:2402.04494v1 [cs.LG].
  • Cho, Kyunghyun; van Merriënboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua (October 2014). "Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation". In Moschitti, Alessandro; Pang, Bo; Daelemans, Walter (eds.). Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Doha, Qatar: Association for Computational Linguistics. pp. 1724–1734. arXiv:1406.1078. doi:10.3115/v1/D14-1179.
  • Sutskever, Ilya; Vinyals, Oriol; Le, Quoc Viet (14 Dec 2014). "Sequence to sequence learning with neural networks". arXiv:1409.3215 [cs.CL]. [first version posted to arXiv on 10 Sep 2014]
  • Chung, Junyoung; Gulcehre, Caglar; Cho, KyungHyun; Bengio, Yoshua (2014). "Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling". arXiv:1412.3555 [cs.NE].
  • Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409.3215.
  • Luong, Minh-Thang; Pham, Hieu; Manning, Christopher D. (2015). "Effective Approaches to Attention-based Neural Machine Translation". arXiv:1508.04025 [cs.CL].
  • Wu, Yonghui; et al. (2016-09-01). "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation". arXiv:1609.08144 [cs.CL].
  • Parikh, Ankur P.; Täckström, Oscar; Das, Dipanjan; Uszkoreit, Jakob (2016-09-25). "A Decomposable Attention Model for Natural Language Inference". arXiv:1606.01933 [cs.CL].
  • Peng, Bo; Alcaide, Eric; Anthony, Quentin; Albalak, Alon; Arcadinho, Samuel; Biderman, Stella; Cao, Huanqi; Cheng, Xin; Chung, Michael (2023-12-10), RWKV: Reinventing RNNs for the Transformer Era, arXiv:2305.13048
  • Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (11 October 2018). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding". arXiv:1810.04805v2 [cs.CL].
  • Dosovitskiy, Alexey; Beyer, Lucas; Kolesnikov, Alexander; Weissenborn, Dirk; Zhai, Xiaohua; Unterthiner, Thomas; Dehghani, Mostafa; Minderer, Matthias; Heigold, Georg; Gelly, Sylvain; Uszkoreit, Jakob (2021-06-03). "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale". arXiv:2010.11929 [cs.CV].
  • Gulati, Anmol; Qin, James; Chiu, Chung-Cheng; Parmar, Niki; Zhang, Yu; Yu, Jiahui; Han, Wei; Wang, Shibo; Zhang, Zhengdong; Wu, Yonghui; Pang, Ruoming (2020). "Conformer: Convolution-augmented Transformer for Speech Recognition". arXiv:2005.08100 [eess.AS].
  • Choromanski, Krzysztof; Likhosherstov, Valerii; Dohan, David; Song, Xingyou; Gane, Andreea; Sarlos, Tamas; Hawkins, Peter; Davis, Jared; Mohiuddin, Afroz (2022-11-19), Rethinking Attention with Performers, arXiv:2009.14794
  • Esser, Patrick; Kulal, Sumith; Blattmann, Andreas; Entezari, Rahim; Müller, Jonas; Saini, Harry; Levi, Yam; Lorenz, Dominik; Sauer, Axel (2024-03-05), Scaling Rectified Flow Transformers for High-Resolution Image Synthesis, arXiv:2403.03206
  • Xiong, Ruibin; Yang, Yunchang; He, Di; Zheng, Kai; Zheng, Shuxin; Xing, Chen; Zhang, Huishuai; Lan, Yanyan; Wang, Liwei; Liu, Tie-Yan (2020-06-29). "On Layer Normalization in the Transformer Architecture". arXiv:2002.04745 [cs.LG].
  • Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J. (2020-01-01). "Exploring the limits of transfer learning with a unified text-to-text transformer". The Journal of Machine Learning Research. 21 (1): 140:5485–140:5551. arXiv:1910.10683. ISSN 1532-4435.
  • Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J. (2019). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". arXiv:1910.10683 [cs.LG].
  • Tay, Yi; Dehghani, Mostafa; Tran, Vinh Q.; Garcia, Xavier; Wei, Jason; Wang, Xuezhi; Chung, Hyung Won; Shakeri, Siamak; Bahri, Dara (2023-02-28), UL2: Unifying Language Learning Paradigms, arXiv:2205.05131
  • Press, Ofir; Wolf, Lior (2017-02-21), Using the Output Embedding to Improve Language Models, arXiv:1608.05859
  • Clark, Kevin; Khandelwal, Urvashi; Levy, Omer; Manning, Christopher D. (August 2019). "What Does BERT Look at? An Analysis of BERT's Attention". Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Florence, Italy: Association for Computational Linguistics: 276–286. arXiv:1906.04341. doi:10.18653/v1/W19-4828. Archived from the original on 2020-10-21. Retrieved 2020-05-20.
  • Yang, Zhilin; Dai, Zihang; Yang, Yiming; Carbonell, Jaime; Salakhutdinov, Russ R; Le, Quoc V (2019). "XLNet: Generalized Autoregressive Pretraining for Language Understanding". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1906.08237.
  • Wang, Qiang; Li, Bei; Xiao, Tong; Zhu, Jingbo; Li, Changliang; Wong, Derek F.; Chao, Lidia S. (2019-06-04), Learning Deep Transformer Models for Machine Translation, arXiv:1906.01787
  • Phuong, Mary; Hutter, Marcus (2022-07-19), Formal Algorithms for Transformers, arXiv:2207.09238
  • Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J. (2020). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". Journal of Machine Learning Research. 21 (140): 1–67. arXiv:1910.10683. ISSN 1533-7928.
  • Shazeer, Noam (2020-02-01). "GLU Variants Improve Transformer". arXiv:2002.05202 [cs.LG].
  • Hendrycks, Dan; Gimpel, Kevin (2016-06-27). "Gaussian Error Linear Units (GELUs)". arXiv:1606.08415v5 [cs.LG].
  • Zhang, Biao; Sennrich, Rico (2019). "Root Mean Square Layer Normalization". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1910.07467.
  • Nguyen, Toan Q.; Salazar, Julian (2019-11-02). Niehues, Jan; Cattoni, Rolando; Stüker, Sebastian; Negri, Matteo; Turchi, Marco; Ha, Thanh-Le; Salesky, Elizabeth; Sanabria, Ramon; Barrault, Loic (eds.). "Transformers without Tears: Improving the Normalization of Self-Attention". Proceedings of the 16th International Conference on Spoken Language Translation. Hong Kong: Association for Computational Linguistics. arXiv:1910.05895. doi:10.5281/zenodo.3525484.
  • Dufter, Philipp; Schmitt, Martin; Schütze, Hinrich (2022-06-06). "Position Information in Transformers: An Overview". Computational Linguistics. 48 (3): 733–763. arXiv:2102.11090. doi:10.1162/coli_a_00445. ISSN 0891-2017. S2CID 231986066.
  • Haviv, Adi; Ram, Ori; Press, Ofir; Izsak, Peter; Levy, Omer (2022-12-05), Transformer Language Models without Positional Encodings Still Learn Positional Information, arXiv:2203.16634
  • Su, Jianlin; Lu, Yu; Pan, Shengfeng; Murtadha, Ahmed; Wen, Bo; Liu, Yunfeng (2021-04-01). "RoFormer: Enhanced Transformer with Rotary Position Embedding". arXiv:2104.09864 [cs.CL].
  • Press, Ofir; Smith, Noah A.; Lewis, Mike (2021-08-01). "Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation". arXiv:2108.12409 [cs.CL].
  • Shaw, Peter; Uszkoreit, Jakob; Vaswani, Ashish (2018). "Self-Attention with Relative Position Representations". arXiv:1803.02155 [cs.CL].
  • Ke, Guolin; He, Di; Liu, Tie-Yan (2021-03-15), Rethinking Positional Encoding in Language Pre-training, arXiv:2006.15595
  • Kwon, Woosuk; Li, Zhuohan; Zhuang, Siyuan; Sheng, Ying; Zheng, Lianmin; Yu, Cody Hao; Gonzalez, Joseph; Zhang, Hao; Stoica, Ion (2023-10-23). "Efficient Memory Management for Large Language Model Serving with PagedAttention". Proceedings of the 29th Symposium on Operating Systems Principles. SOSP '23. New York, NY, USA: Association for Computing Machinery. pp. 611–626. arXiv:2309.06180. doi:10.1145/3600006.3613165. ISBN 979-8-4007-0229-7.
  • Dao, Tri; Fu, Dan; Ermon, Stefano; Rudra, Atri; Ré, Christopher (2022-12-06). "FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness". Advances in Neural Information Processing Systems. 35: 16344–16359. arXiv:2205.14135.
  • Ainslie, Joshua; Lee-Thorp, James; de Jong, Michiel; Zemlyanskiy, Yury; Lebrón, Federico; Sanghai, Sumit (2023-12-23). "GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints". arXiv:2305.13245 [cs.CL].
  • Chowdhery, Aakanksha; Narang, Sharan; Devlin, Jacob; Bosma, Maarten; Mishra, Gaurav; Roberts, Adam; Barham, Paul; Chung, Hyung Won; Sutton, Charles; Gehrmann, Sebastian; Schuh, Parker; Shi, Kensen; Tsvyashchenko, Sasha; Maynez, Joshua; Rao, Abhishek (2022-04-01). "PaLM: Scaling Language Modeling with Pathways". arXiv:2204.02311 [cs.CL].
  • Ainslie, Joshua; Lee-Thorp, James; de Jong, Michiel; Zemlyanskiy, Yury; Lebrón, Federico; Sanghai, Sumit (2023-12-23), GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints, arXiv:2305.13245
  • DeepSeek-AI; Liu, Aixin; Feng, Bei; Wang, Bin; Wang, Bingxuan; Liu, Bo; Zhao, Chenggang; Dengr, Chengqi; Ruan, Chong (19 June 2024), DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model, arXiv:2405.04434.
  • Leviathan, Yaniv; Kalman, Matan; Matias, Yossi (2023-05-18), Fast Inference from Transformers via Speculative Decoding, arXiv:2211.17192
  • Chen, Charlie; Borgeaud, Sebastian; Irving, Geoffrey; Lespiau, Jean-Baptiste; Sifre, Laurent; Jumper, John (2023-02-02), Accelerating Large Language Model Decoding with Speculative Sampling, arXiv:2302.01318
  • Gloeckle, Fabian; Badr Youbi Idrissi; Rozière, Baptiste; Lopez-Paz, David; Synnaeve, Gabriel (2024). "Better & Faster Large Language Models via Multi-token Prediction". arXiv:2404.19737 [cs.CL].
  • DeepSeek-AI; et al. (2024). "DeepSeek-V3 Technical Report". arXiv:2412.19437 [cs.CL].
  • Kitaev, Nikita; Kaiser, Łukasz; Levskaya, Anselm (2020). "Reformer: The Efficient Transformer". arXiv:2001.04451 [cs.LG].
  • Liu, Ze; Lin, Yutong; Cao, Yue; Hu, Han; Wei, Yixuan; Zhang, Zheng; Lin, Stephen; Guo, Baining (2021). "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows". 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 9992–10002. arXiv:2103.14030. doi:10.1109/ICCV48922.2021.00986. ISBN 978-1-6654-2812-5.
  • Ristea, Nicolaea Catalin; Ionescu, Radu Tudor; Khan, Fahad Shahbaz (2022-09-18). "SepTr: Separable Transformer for Audio Spectrogram Processing". Interspeech. ISCA: 4103–4107. arXiv:2203.09581. doi:10.21437/Interspeech.2022-249.
  • Tay, Yi; Dehghani, Mostafa; Abnar, Samira; Shen, Yikang; Bahri, Dara; Pham, Philip; Rao, Jinfeng; Yang, Liu; Ruder, Sebastian; Metzler, Donald (2020-11-08). "Long Range Arena: A Benchmark for Efficient Transformers". arXiv:2011.04006 [cs.LG].
  • Gomez, Aidan N; Ren, Mengye; Urtasun, Raquel; Grosse, Roger B (2017). "The Reversible Residual Network: Backpropagation Without Storing Activations". Advances in Neural Information Processing Systems. 30. Curran Associates, Inc. arXiv:1707.04585.
  • Child, Rewon; Gray, Scott; Radford, Alec; Sutskever, Ilya (2019-04-23), Generating Long Sequences with Sparse Transformers, arXiv:1904.10509
  • Zhai, Shuangfei; Talbott, Walter; Srivastava, Nitish; Huang, Chen; Goh, Hanlin; Zhang, Ruixiang; Susskind, Josh (2021-09-21). "An Attention Free Transformer". arXiv:2105.14103 [cs.LG].
  • Peng, Hao; Pappas, Nikolaos; Yogatama, Dani; Schwartz, Roy; Smith, Noah A.; Kong, Lingpeng (2021-03-19). "Random Feature Attention". arXiv:2103.02143 [cs.CL].
  • Choromanski, Krzysztof; Likhosherstov, Valerii; Dohan, David; Song, Xingyou; Gane, Andreea; Sarlos, Tamas; Hawkins, Peter; Davis, Jared; Belanger, David; Colwell, Lucy; Weller, Adrian (2020-09-30). "Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers". arXiv:2006.03555 [cs.LG].
  • Radford, Alec; Kim, Jong Wook; Xu, Tao; Brockman, Greg; McLeavey, Christine; Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS].
  • Jaegle, Andrew; Gimeno, Felix; Brock, Andrew; Zisserman, Andrew; Vinyals, Oriol; Carreira, Joao (2021-06-22). "Perceiver: General Perception with Iterative Attention". arXiv:2103.03206 [cs.CV].
  • Jaegle, Andrew; Borgeaud, Sebastian; Alayrac, Jean-Baptiste; Doersch, Carl; Ionescu, Catalin; Ding, David; Koppula, Skanda; Zoran, Daniel; Brock, Andrew; Shelhamer, Evan; Hénaff, Olivier (2021-08-02). "Perceiver IO: A General Architecture for Structured Inputs & Outputs". arXiv:2107.14795 [cs.LG].
  • Villegas, Ruben; Babaeizadeh, Mohammad; Kindermans, Pieter-Jan; Moraldo, Hernan; Zhang, Han; Saffar, Mohammad Taghi; Castro, Santiago; Kunze, Julius; Erhan, Dumitru (2022-09-29). "Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions". arXiv:2210.02399 [cs.CV].
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  • Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021-02-26), Zero-Shot Text-to-Image Generation, arXiv:2102.12092
  • Yu, Jiahui; Xu, Yuanzhong; Koh, Jing Yu; Luong, Thang; Baid, Gunjan; Wang, Zirui; Vasudevan, Vijay; Ku, Alexander; Yang, Yinfei (2022-06-21), Scaling Autoregressive Models for Content-Rich Text-to-Image Generation, arXiv:2206.10789

cogprints.org (Global: low place; English: low place)

  • Christoph von der Malsburg: The correlation theory of brain function. Internal Report 81-2, MPI Biophysical Chemistry, 1981. http://cogprints.org/1380/1/vdM_correlation.pdf See Reprint in Models of Neural Networks II, chapter 2, pages 95–119. Springer, Berlin, 1994.

doi.org (Global: 2nd place; English: 2nd place)

escholarship.org (Global: 1,523rd place; English: 976th place)

github.com (Global: 383rd place; English: 320th place)

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  • Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia (2017). "Attention is All you Need" (PDF). Advances in Neural Information Processing Systems. 30. Curran Associates, Inc.
  • Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409.3215.
  • Yang, Zhilin; Dai, Zihang; Yang, Yiming; Carbonell, Jaime; Salakhutdinov, Russ R; Le, Quoc V (2019). "XLNet: Generalized Autoregressive Pretraining for Language Understanding". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1906.08237.
  • Zhang, Biao; Sennrich, Rico (2019). "Root Mean Square Layer Normalization". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1910.07467.
  • Dao, Tri; Fu, Dan; Ermon, Stefano; Rudra, Atri; Ré, Christopher (2022-12-06). "FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness". Advances in Neural Information Processing Systems. 35: 16344–16359. arXiv:2205.14135.
  • Gomez, Aidan N; Ren, Mengye; Urtasun, Raquel; Grosse, Roger B (2017). "The Reversible Residual Network: Backpropagation Without Storing Activations". Advances in Neural Information Processing Systems. 30. Curran Associates, Inc. arXiv:1707.04585.
  • Liu, Haotian; Li, Chunyuan; Wu, Qingyang; Lee, Yong Jae (2023-12-15). "Visual Instruction Tuning". Advances in Neural Information Processing Systems. 36: 34892–34916.

newyorker.com (Global: 146th place; English: 110th place)

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  • Liu, Zhuang; Mao, Hanzi; Wu, Chao-Yuan; Feichtenhofer, Christoph; Darrell, Trevor; Xie, Saining (2022). A ConvNet for the 2020s. Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11976–11986.

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