From | Zhihu Author | Anticoder Link | https://zhuanlan.zhihu.com/p/59413549 Background: Focusing only on a single model may overlook potential information that could enhance the target task from related tasks. By sharing parameters to some extent among different tasks, the original task may generalize better. Generally speaking, as long as there are multiple losses, it counts … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from top universities and companies such as HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu! We also provide monthly live sharing sessions with experts, real project demand connections, and a summary of valuable information for industry technical exchanges. … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from prestigious institutions like HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu, and more! We also provide monthly expert live streams, real project demand connections, valuable information summaries, and industry technical exchanges. Follow the Jishi Platform public account, … Read more
Source: DeepHub IMBA This article is about 4000 words long and is recommended for a reading time of over 10 minutes. In this article, I will discuss a new semi-supervised, multi-task medical imaging method. In this article, I will discuss a new semi-supervised, multi-task medical imaging method called Multimix, authored by Ayana Haque (ME), Abdullah-Al-Zubaer … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Original text: https://zhuanlan.zhihu.com/ p/138597214 Author: Liu Shikun Recently, there have been numerous breakthroughs in research on Multi-task Learning (MTL), along with many interesting new directions to explore. This has greatly inspired me to write a new article, attempting to summarize the recent research … Read more
Click on the above “Learning Vision for Beginners”, select to add “Star” or “Top“ Important content delivered immediately From | Zhihu Author丨Anticoder Source丨https://zhuanlan.zhihu.com/p/59413549 For academic exchange only, if there is infringement, please contact to delete the article Background: Focusing only on a single model may overlook potential information that could enhance the target task from … Read more
Original text: https://zhuanlan.zhihu.com/ p/138597214 Author: Liu Shikun Recently, there have been numerous breakthroughs in the research progress of Multi-task Learning (MTL) and many interesting new directions have been explored. This has greatly inspired me to write a new article, attempting to summarize and encapsulate the recent research advancements in MTL and explore the possibilities for … Read more
↑↑↑ Follow and Star Kaggle Competition Guide Kaggle Competition Guide Author: Elvin Loves to Ask, excerpted from Zhai Ma LoRA+MoE: A Historical Interpretation of the Combination of Low-Rank Matrices and Multi-Task Learning This article introduces some works that combine LoRA and MoE, hoping to be helpful to everyone. 1. MoV and MoLoRA Paper: 2023 | … Read more
Author | Sanhe Factory Girl Source | See “Read the Original” at the end Concept When optimizing more than one objective function in a single task, it is referred to as multi-task learning. Some Exceptions “Multi-task of a single objective function”: In many tasks, the losses are combined and backpropagated, effectively optimizing a single objective … Read more
MLNLPThe MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the communityis to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners.Source | Machine HeartEditor | … Read more
