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...

typically accomplished with supervised learning, but there are also techniques to fine-tune a model using weak supervision. Fine-tuning can be combined...

Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. Monastirsky, Maxim; Azulay, Osher; Sintov...

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...

score as guidance, and Weak or Semi supervision where a small portion of the data is tagged, and Self Supervision. Neural network tasks are often categorized...

several ways in which the standard supervised learning problem can be generalized: Semi-supervised learning or weak supervision: the desired output values are...

ISSN 2227-7080. Alex Ratner; Stephen Bach; Paroma Varma; Chris. "Weak Supervision: The New Programming Paradigm for Machine Learning". hazyresearch.github...

Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. Jaegle, Andrew; Gimeno, Felix; Brock...

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...

Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS]. "OpenAI's MuseNet generates AI music...

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"...

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...

brigandage. The thinly staffed colonial administration provided only weak supervision over arid Kanem Prefecture and the sparsely populated areas of Guéra...

Chang, Ming-Wei; Toutanova, Kristina (2019). ""Latent Retrieval for Weakly Supervised Open Domain Question Answering"" (PDF). Lin, Sheng-Chieh; Asai, Akari...

significant cost. Initial attempts to bypass this hurdle were made using the weak supervision approach. Argument technology – Sub-field of artificial intelligence...

under the supervision of Huan Liu, where he completed his dissertation on "Understanding Disinformation: Learning with Weak Social Supervision." Shu was...

Dengke; Scott, Matthew R.; Huang, Dinglong (2018). "CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images". arXiv:1808.01097 [cs.CV]. "Competence-based...

Elimination of symbolic representations (rule-based over supervised towards weakly supervised methods, representation learning and end-to-end systems)...

Models – Deep learning – Neural modeling fields – Supervised learning – Weak supervision (semi-supervised learning) – Unsupervised learning – Natural language...

realistically possible. Training data may therefore be products of weak supervision or purely statistical methods. Like other text documents, biomedical...

x^{+})>f(x,x^{-})} (contrastive learning). This setup assumes a weaker form of supervision than in regression, because instead of providing an exact measure...

stated that ...regulatory non-compliance, and poor supervision, (questionable licensing processes and weak enforcement) lead to a significant build-up of...

better methods for learning latent-variable models, sometimes with weak supervision, in machine learning. Devi Parikh (2017) Stefano Ermon (2018) Guy Van...

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...

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...

Learned-Miller, Erik (2017). "Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval". arXiv:1703.06618 [cs.CV]. "huyt16/Twitter100k"...

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...

Daniel; Caulfield, Brian (Feb 2015). "Pervasive Sound Sensing: A Weakly Supervised Training Approach". IEEE Transactions on Cybernetics. 46 (1): 123–135...

function of specific genes on chromosome 15. In newborns, symptoms include weak muscles, poor feeding, and slow development. Beginning in childhood, those...

a naive Bayes classifier) is trained on the training data set using a supervised learning method, for example using optimization methods such as gradient...