[Introduction to Large Model Industry Applications Series] NO.9 [Abstract] Single-task training often overlooks valuable information hidden in related tasks. The emergence of Multi-Task Learning (MTL) provides a new approach to this problem.Author Li Jie, focused on exploring and researching Java Virtual Machine technology and cloud-native technologies. *This article is the 9th in the [Introduction to … Read more
Follow the public account “ML_NLP“ and set it as a “starred“, delivering valuable content to you first! This article is authorized to be transferred from the Zhihu author Anticoder, https://zhuanlan.zhihu.com/p/59413549. No secondary reproduction is allowed without the author’s permission. Background: Focusing solely on a single model may overlook potential information that could enhance the target … Read more
Table of Contents | 2024 Issue 2 Special Topic: Semantic Communication Semantic Communication Based on Large Language Models: Current Status, Challenges, and Prospects Image Semantic Communication System Based on Federated Learning Semantic Communication System Integrating Knowledge Graphs Semantic Communication Based on Internal Entity Information Enhancement Knowledge Communication Aimed at Collaborative Evolution of Knowledge Bases Research … Read more
Click on the above “Beginner Learning Vision”, select to add “Star” or “Pin“ Heavyweight content delivered first-hand Reprinted from: Zhihu Anticoderhttps://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 between different tasks to a certain extent, the original task may … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station and is updated weekly on the Machine Heart WeChat public account every Sunday. This column will review common tasks in fields such as natural language processing and computer vision, and provide detailed explanations of classic models that have achieved SOTA on … Read more
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