Fine-tuning (deep learning) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Fine-tuning (deep learning)" in English language version.

refsWebsite

Global rank English rank

10arxiv.org

69^th place

59^th place

2huggingface.co

low place

2openai.com

1,559^th place

1,155^th place

1d2l.ai

low place

1web.archive.org

1^st place

1cs231n.github.io

low place

1neurips.cc

low place

1openreview.net

low place

1github.com

383^rd place

320^th place

1microsoft.com

153^rd place

151^st place

1cloud.google.com

9,964^th place

6,992^nd place

arxiv.org

Zeiler, Matthew D; Fergus, Rob (2013). "Visualizing and Understanding Convolutional Networks". ECCV. arXiv:1311.2901.
Dodge, Jesse; Ilharco, Gabriel; Schwartz, Roy; Farhadi, Ali; Hajishirzi, Hannaneh; Smith, Noah (2020). "Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping". arXiv:2002.06305. {{cite journal}}: Cite journal requires |journal= (help)
Dingliwal, Saket; Shenoy, Ashish; Bodapati, Sravan; Gandhe, Ankur; Gadde, Ravi Teja; Kirchhoff, Katrin (2021). "Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems". InterSpeech. arXiv:2112.08718.
Yu, Yue; Zuo, Simiao; Jiang, Haoming; Ren, Wendi; Zhao, Tuo; Zhang, Chao (2020). "Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach". Association for Computational Linguistics. arXiv:2010.07835.
Glaese, Amelia; McAleese, Nat; Trębacz, Maja; Aslanides, John; Firoiu, Vlad; Ewalds, Timo; Rauh, Maribeth; Weidinger, Laura; Chadwick, Martin; Thacker, Phoebe; Campbell-Gillingham, Lucy; Uesato, Jonathan; Huang, Po-Sen; Comanescu, Ramona; Yang, Fan; See, Abigail; Dathathri, Sumanth; Greig, Rory; Chen, Charlie; Fritz, Doug; Elias, Jaume Sanchez; Green, Richard; Mokrá, Soňa; Fernando, Nicholas; Wu, Boxi; Foley, Rachel; Young, Susannah; Gabriel, Iason; Isaac, William; Mellor, John; Hassabis, Demis; Kavukcuoglu, Koray; Hendricks, Lisa Anne; Irving, Geoffrey (2022). "Improving alignment of dialogue agents via targeted human judgements". DeepMind. arXiv:2209.14375.
Radford, Alec; Kim, Jong Wook; Hallacy, Chris; Ramesh, Aditya; Goh, Gabriel; Agarwal, Sandhini; Sastry, Girish; Askell, Amanda; Mishkin, Pamela; Clark, Jack; Krueger, Gretchen; Sutskever, Ilya (2021). "Learning Transferable Visual Models From Natural Language Supervision". arXiv:2103.00020 [cs.CV].
Kumar, Ananya; Raghunathan, Aditi; Jones, Robbie; Ma, Tengyu; Liang, Percy (2022). "Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution". ICLR. arXiv:2202.10054.
Wortsman, Mitchell; Ilharco, Gabriel; Kim, Jong Wook; Li, Mike; Kornblith, Simon; Roelofs, Rebecca; Gontijo-Lopes, Raphael; Hajishirzi, Hannaneh; Farhadi, Ali; Namkoong, Hongseok; Schmidt, Ludwig (2022). "Robust fine-tuning of zero-shot models". arXiv:2109.01903 [cs.CV].
Hu, Edward J.; Shen, Yelong; Wallis, Phillip; Allen-Zhu, Zeyuan; Li, Yuanzhi; Wang, Shean; Wang, Lu; Chen, Weizhu (2022-01-28). "LoRA: Low-Rank Adaptation of Large Language Models". ICLR. arXiv:2106.09685.
Wu, Zhengxuan; Arora, Aryaman; Wang, Zheng; Geiger, Atticus; Jurafsky, Dan; Manning, Christopher D.; Potts, Christopher (2024-04-07), ReFT: Representation Finetuning for Language Models, arXiv:2404.03592

cloud.google.com

"Tune text foundation models". Retrieved 2023-06-19.

cs231n.github.io

"CS231n Convolutional Neural Networks for Visual Recognition". cs231n.github.io. Retrieved 9 March 2023.

d2l.ai

Quinn, Joanne (2020). Dive into deep learning: tools for engagement. Thousand Oaks, California. p. 551. ISBN 978-1-5443-6137-6. Archived from the original on January 10, 2023. Retrieved January 10, 2023.{{cite book}}: CS1 maint: location missing publisher (link)

github.com

Ryu, Simo (February 13, 2023). "Using Low-rank adaptation to quickly fine-tune diffusion models". GitHub. Retrieved June 19, 2023.

huggingface.co

Cuenca, Pedro; Paul, Sayak (January 26, 2023). "Using LoRA for Efficient Stable Diffusion Fine-Tuning". Hugging Face. Retrieved June 19, 2023.
"Parameter-Efficient Fine-Tuning using 🤗 PEFT". huggingface.co. Retrieved 2023-06-20.

microsoft.com

learn.microsoft.com

"Learn how to customize a model for your application". Microsoft. Retrieved 2023-06-19.

neurips.cc

proceedings.neurips.cc

Liu, Haokun; Tam, Derek; Muqeeth, Mohammed; Mohta, Jay; Huang, Tenghao; Bansal, Mohit; Raffel, Colin A (2022). Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; Oh, A. (eds.). Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning (PDF). Advances in Neural Information Processing Systems. Vol. 35. Curran Associates, Inc. pp. 1950–1965.

openai.com

"Introducing ChatGPT". openai.com. Retrieved 9 March 2023.

platform.openai.com

"Fine-tuning". OpenAI. Retrieved 2023-06-19.

openreview.net

Hu, Edward J.; Shen, Yelong; Wallis, Phillip; Allen-Zhu, Zeyuan; Li, Yuanzhi; Wang, Shean; Wang, Lu; Chen, Weizhu (2022-01-28). "LoRA: Low-Rank Adaptation of Large Language Models". ICLR. arXiv:2106.09685.

web.archive.org

Quinn, Joanne (2020). Dive into deep learning: tools for engagement. Thousand Oaks, California. p. 551. ISBN 978-1-5443-6137-6. Archived from the original on January 10, 2023. Retrieved January 10, 2023.{{cite book}}: CS1 maint: location missing publisher (link)