526互联

self-supervised classification distillation

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

[TOC] > [Xia X., Yin H., Yu J., Wang Q., Cui L and Zhang X. Self-supervised hypergraph convolutional networks for session-based recommendation. AAAI, ......
Self-Supervised Recommendation Convolutional Session-based Hypergraph

Self-Supervised Graph Co-Training for Session-based Recommendation

[TOC] > [Xia X., Yin H., Yu J., Shao Y. and Cui L. Self-supervised graph co-training for session-based recommendation. CIKM, 2021.](http://arxiv.org/a ......
Self-Supervised Recommendation Session-based Co-Training Supervised

【837】Hugging Face - Text classification

参考：Hugging Face - Text classification 主要步骤： 1. Load IMDb dataset Start by loading the IMDb dataset from the 🤗 Datasets library: from datasets import ......
classification Hugging Face Text 837

CLIP-S^4：Language-Guided Self-Supervised Semantic Segmentation论文阅读笔记

## 摘要 作者提出了CLIP-S4，借助自监督像素表示学习和V-L模型实现各种语义分割任务，不需要使用任何像素级别标注以及未知类的信息。作者首先通过对图像的不同增强视角进行像素-分割对比学习来学习像素嵌入。之后，为进一步改善像素嵌入并实现基于自然语言的语义分割，作者设计了由V-L模型指导的嵌入一致 ......
Language-Guided Self-Supervised Segmentation Supervised Language

论文解读《Mixup for Node and Graph Classification》

论文信息 论文标题：Mixup for Node and Graph Classification论文作者：Yiwei Wang、Wei Wang论文来源：WWW 2021论文地址：download 论文代码：download视屏讲解：click 1 介绍 ......
Classification 论文 Mixup Graph Node

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference 论文全程及链接：《Exploiting Cloze Questions for Few Shot Text Class ......
Classification Exploiting Questions Inference Language

Teachable Reinforcement Learning via Advice Distillation

**发表时间：**2021 (NeurIPS 2021) **文章要点：**这篇文章提出了一种学习policy的监督范式，大概思路就是先结构化advice，然后先学习解释advice，再从advice中学policy。这个advice来自于外部的teacher，相当于一种human-in-the-l ......
Reinforcement Distillation Teachable Learning Advice

This dataset does not have valid histogram required for classification method, run Calculate Statistics tool to generate histogram.

此数据集没有分类方法所需的有效直方图，请运行“计算统计信息”工具生成直方图。 参考1：https://blog.csdn.net/soderayer/article/details/125409022 参考2：https://blog.csdn.net/aGang_Gg/article/detail ......
histogram classification Statistics Calculate generate

HW2：classification

HW2 任务描述 音位分类预测（Phoneme classification），我们有音频->音位这样的训练数据，想要训练一个模型，学习这样的对应关系，然后给定音频，预测其音位 音位 音位（phoneme），是人类某一种语言中能够区别意义的最小语音单位，是音位学分析的基础概念。每种语言都有一套自己的 ......
classification HW2 HW

论文解读（ FGSM）《Adversarial training methods for semi-supervised text classification》

论文信息 论文标题：Adversarial training methods for semi-supervised text classification论文作者：Taekyung Kim论文来源：ICLR 2017论文地址：download 论文代码：download视屏讲解：click 1 背 ......
semi-supervised classification Adversarial supervised training

【论文阅读笔记】Distiling Causal Effect of Data in Class-Incremental Learning

Author: Hanwang Zhang, Xinting Hu Create_time: April 24, 2022 11:01 AM Edited_by: Huang Yujun Publisher: CVPR 2021 Org: Nanyang Technological Universi ......
Class-Incremental Incremental Distiling Learning 笔记

迁移学习《Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification》

论文信息 论文标题：Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification论文作者：S. Harada, Ryoma Bise, Kengo Araki论文来源：ArXi ......
Semi-Supervised Cluster-Guided Classification Adaptation Imbalanced

文献阅读——Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 ......
Understanding Distillation Knowledge Empirical 文献

文献阅读——The Augmented Image Prior Distilling 1000 Classes by Extrapolating from a Single Image

Y. M. Asano and A. Saeed, ‘THE AUGMENTED IMAGE PRIOR: DISTILLING 1000 CLASSES BY EXTRAPOLATING FROM A SINGLE IMAGE’, 2023. ICLR2023，阿姆斯特丹大学和埃因霍芬理工大学两位 ......
Image Extrapolating Distilling Augmented 文献

Andew Ng --ML --Softmax Function (Multiclass Classification) -- Optional Lab

Optional Lab - Softmax Function¶ In this lab, we will explore the softmax function. This function is used in both Softmax Regression and in Neural Net ......
Classification Multiclass Function Optional Softmax

org.springframework.dao.TransientDataAccessResourceException: Error attempting to get column 'classification' from result set. Cause: java.sql.SQLException: Invalid value for getInt()

问题：mybatis查询的时候，始终报这个错。我看了字段，应该是ClickNumber是Integer，为什么会报classification的问题。我试了几种方式，但是还是有这个问题。 包括使用resultMap来进行返回。 晚上看了很多方法，包括Druid版本啊，参数名不一致啊，lombok注解 ......
TransientDataAccessResourceExcept springframework classification SQLException attempting

《Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification》论文笔记

论文作者：Swalpa Kumar Roy， Ankur Deria， Chiranjibi Shah， et al. 论文发表年份：2023 模型简称：morphFormer 发表期刊：IEEE Transactions on Geoscience and Remote Sensing 论文代码： ......
Classification Morphological Hyperspectral Transformer Attention

Paper Reading: XRRF — An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems

本文提出了一种 XRRF 算法，它通过执行本文提出的 SGFL 和 RRF 算法来得到可解释性、准确性和可解释性之间的权衡。随后引入了基于决策路径特征提取的方法，根据具体的应用解释模型的输出。其中 SGFL 能确定有助于模型准确性的特征，同时保持特征关系的可靠性。RRF 算法则通过利用所提出的改进随... ......
classification eXplainable Randomised Reasonably regression

Graph Classification mini-batch 训练方法

参考资料 colab教程 PyTorch Geometric opts for another approach to achieve parallelization across a number of examples. Here, adjacency matrices are stacked ......
Classification mini-batch 方法 Graph batch

论文解读（Moco v3）《An Empirical Study of Training Self-Supervised Vision Transformers》

论文信息 论文标题：Improved Baselines with Momentum Contrastive Learning论文作者：Xinlei Chen, Saining Xie, Kaiming He论文来源：2021 ICCV论文地址：download 论文代码：download引用次数： ......
Self-Supervised Transformers Supervised Empirical Training

Easy-Classification-验证码识别

1.背景 Easy-Classification是一个应用于分类任务的深度学习框架，它集成了众多成熟的分类神经网络模型，可帮助使用者简单快速的构建分类训练任务。 案例源代码 Easy-Classification框架设计 本例基于Easy-Classification框架，快速搭建一个验证码识别训练 ......
Easy-Classification Classification Easy

Easy-Classification-分类框架设计

1. 框架介绍 Easy-Classification是一个应用于分类任务的深度学习框架，它集成了众多成熟的分类神经网络模型，可帮助使用者简单快速的构建分类训练任务。 框架源代码：https://github.com/wuya11/easy-classification 1.1 框架功能 1.1.1 ......
Easy-Classification Classification 框架 Easy
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