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pro vyhledávání: '"Rosenberg, David"'
Bilevel optimization methods are increasingly relevant within machine learning, especially for tasks such as hyperparameter optimization and meta-learning. Compared to the offline setting, online bilevel optimization (OBO) offers a more dynamic frame
Externí odkaz:
http://arxiv.org/abs/2409.10470
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance. While traditional marginal-based methods have achieved impressive results, recent work has shown that deep learning-based approaches tend
Externí odkaz:
http://arxiv.org/abs/2307.10430
Autor:
Zhang, Shiyue, Wu, Shijie, Irsoy, Ozan, Lu, Steven, Bansal, Mohit, Dredze, Mark, Rosenberg, David
Autoregressive language models are trained by minimizing the cross-entropy of the model distribution Q relative to the data distribution P -- that is, minimizing the forward cross-entropy, which is equivalent to maximum likelihood estimation (MLE). W
Externí odkaz:
http://arxiv.org/abs/2305.16958
Autor:
Wu, Shijie, Irsoy, Ozan, Lu, Steven, Dabravolski, Vadim, Dredze, Mark, Gehrmann, Sebastian, Kambadur, Prabhanjan, Rosenberg, David, Mann, Gideon
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language Models (LLMs) have been shown to be effective on a variety
Externí odkaz:
http://arxiv.org/abs/2303.17564
Autor:
Li, Yifan, Yoon, Garrett, Nasir-Moin, Mustafa, Rosenberg, David, Neifert, Sean, Kondziolka, Douglas, Oermann, Eric Karl
Numerous COVID-19 clinical decision support systems have been developed. However many of these systems do not have the merit for validity due to methodological shortcomings including algorithmic bias. Methods Logistic regression models were created t
Externí odkaz:
http://arxiv.org/abs/2111.00340
Advances in deep learning have led to promising progress in inferring graphics programs by de-rendering computer-generated images. However, current methods do not explore which decoding methods lead to better inductive bias for inferring graphics pro
Externí odkaz:
http://arxiv.org/abs/2103.01867