Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tendle, Atharva"'
Autor:
Bhowmik, Rajarshi, Ponza, Marco, Tendle, Atharva, Gupta, Anant, Jiang, Rebecca, Lu, Xingyu, Zhao, Qian, Preotiuc-Pietro, Daniel
In text documents such as news articles, the content and key events usually revolve around a subset of all the entities mentioned in a document. These entities, often deemed as salient entities, provide useful cues of the aboutness of a document to a
Externí odkaz:
http://arxiv.org/abs/2309.07990
Publikováno v:
Volume 6, 2021, 100124
Recent advancements in self-supervised learning (SSL) made it possible to learn generalizable visual representations from unlabeled data. The performance of Deep Learning models fine-tuned on pretrained SSL representations is on par with models fine-
Externí odkaz:
http://arxiv.org/abs/2109.09150
Interpreting the learning dynamics of neural networks can provide useful insights into how networks learn and the development of better training and design approaches. We present an approach to interpret learning in neural networks by measuring relat
Externí odkaz:
http://arxiv.org/abs/2107.07005
Understanding the per-layer learning dynamics of deep neural networks is of significant interest as it may provide insights into how neural networks learn and the potential for better training regimens. We investigate learning in Deep Convolutional N
Externí odkaz:
http://arxiv.org/abs/2011.06735