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Weakly Supervised Object Localization with Latent Category Learning,程序员大本营,技术文章内容聚合第一站。
1. Model Overview 1.1 什么是weakly supervised learning https://stackoverflow.com/questions/18944805/what-is-weakly-supervised-learning-bootstrapping In short: In weakly supervised learning, you use a lim... 论文浏览(49) Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos ...
The supervised learning approach to topic modelling will consist of generating topic labels to train a binary classification model. This can be done by identifying the keywords associated to topics we are interested in labelling and predicting. I will mainly focus on the three topics of machine ...
An empirical study on refactoring trends and topics in Stack Overflow 2022, Empirical Software Engineering One thousand and one stories: A large-scale survey of software refactoring 2021, ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium ...
1. Introduction We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL...
EN数值函数 1. 基本函数 函数 用法 ABS(x) 返回x的绝对值
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Question answering sites, such as Stack Overflow (SO), have become a popular place for discussing API issues. These posts about API issues are invaluable to API designers, not only because they can help to learn more about the problem but also because they can facilitate learning the ...
Syntactic elimination contrast learning leverages verb-dominant syntactic features, systematically replacing specific words to enhance data diversity. The radius of the positive sample neighborhood is elastically adjusted to eliminate invalid samples and improve training efficiency. A neighborhood sample fusion ...