Weak supervision is a paradigm in machine learning, the relevance and notability of which increased with the advent of large language models due to large...
22 KB (3,069 words) - 08:10, 22 June 2024
typically accomplished with supervised learning, but there are also techniques to fine-tune a model using weak supervision. Fine-tuning can be combined...
13 KB (1,370 words) - 20:36, 22 July 2024
Sutskever, Ilya (2022-12-06). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. Golla, Ramsri Goutham (2023-03-06). "Here...
10 KB (914 words) - 00:15, 20 August 2024
Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. Monastirsky, Maxim; Azulay, Osher; Sintov...
95 KB (11,901 words) - 10:22, 28 August 2024
several ways in which the standard supervised learning problem can be generalized: Semi-supervised learning or weak supervision: the desired output values are...
22 KB (3,012 words) - 13:16, 11 August 2024
Machine learning (section Supervised learning)
ISSN 2227-7080. Alex Ratner; Stephen Bach; Paroma Varma; Chris. "Weak Supervision: The New Programming Paradigm for Machine Learning". hazyresearch.github...
135 KB (14,773 words) - 08:49, 29 August 2024
Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. "OpenAI's MuseNet generates AI music...
185 KB (16,089 words) - 16:04, 29 August 2024
justice system. These conditions can be compounded by arrogance and weak supervision. In 1983, Carl Klockars used the film Dirty Harry as an example of...
14 KB (1,533 words) - 14:31, 16 April 2024
Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. Jaegle, Andrew; Gimeno, Felix; Brock...
7 KB (1,943 words) - 14:24, 1 June 2024
Chang, Ming-Wei; Toutanova, Kristina (2019). ""Latent Retrieval for Weakly Supervised Open Domain Question Answering"" (PDF). Lin, Sheng-Chieh; Asai, Akari...
11 KB (1,097 words) - 05:38, 29 August 2024
weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision. Some researchers consider self-supervised learning a form...
31 KB (2,778 words) - 05:21, 12 August 2024
Saab K, Dunnmon J, Ré C, Rubin D, Lee-Messer C (April 20, 2020). "Weak supervision as an efficient approach for automated seizure detection in electroencephalography"...
129 KB (15,509 words) - 21:47, 15 August 2024
Boosting (machine learning) (redirect from Weak classifier)
reducing bias, variance. It is used in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. The concept...
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under the supervision of Huan Liu, where he completed his dissertation on "Understanding Disinformation: Learning with Weak Social Supervision." Shu was...
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significant cost. Initial attempts to bypass this hurdle were made using the weak supervision approach. Argument technology – Sub-field of artificial intelligence...
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brigandage. The thinly staffed colonial administration provided only weak supervision over arid Kanem Prefecture and the sparsely populated areas of Guéra...
25 KB (2,762 words) - 13:18, 18 June 2024
Dengke; Scott, Matthew R.; Huang, Dinglong (2018). "CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images". arXiv:1808.01097 [cs.CV]. "Competence-based...
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Elimination of symbolic representations (rule-based over supervised towards weakly supervised methods, representation learning and end-to-end systems)...
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Models – Deep learning – Neural modeling fields – Supervised learning – Weak supervision (semi-supervised learning) – Unsupervised learning – Natural language...
44 KB (4,381 words) - 23:25, 23 August 2024
x^{+})>f(x,x^{-})} (contrastive learning). This setup assumes a weaker form of supervision than in regression, because instead of providing an exact measure...
11 KB (1,526 words) - 18:29, 13 May 2024
realistically possible. Training data may therefore be products of weak supervision or purely statistical methods. Like other text documents, biomedical...
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German side, E. Ludendorff reproached K. von Morgen for the same), “weak supervision of people during the battle", leading to a large number of "arbitrarily...
33 KB (4,735 words) - 20:33, 17 August 2024
better methods for learning latent-variable models, sometimes with weak supervision, in machine learning. Devi Parikh (2017) Stefano Ermon (2018) Guy Van...
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of hallucination and ruin. In his verse, where there is evidence of weak supervision and rough writing, there is - according to many critics - the vitality...
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stated that ...regulatory non-compliance, and poor supervision, (questionable licensing processes and weak enforcement) lead to a significant build-up of...
19 KB (1,912 words) - 17:23, 4 February 2024
Learned-Miller, Erik (2017). "Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval". arXiv:1703.06618 [cs.CV]. "huyt16/Twitter100k"...
256 KB (13,661 words) - 20:30, 11 August 2024
modeling to make it faster in inference, which has been extended weakly supervised version. In 2018 a new approach to topic models was proposed: it is...
23 KB (2,389 words) - 16:30, 22 April 2024
at that time was still less than 30 percent. This is the result of weak supervision and application of 3T (test, tracing, and treatment) in the orange...
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radial basis functions (used in radial basis networks, another class of supervised neural network models). In recent developments of deep learning the rectified...
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school (or other activities) or a child who is often left at home with no supervision because their parents are away at work. Such a child can be any age,...
12 KB (1,407 words) - 23:03, 4 August 2024