关于AI的论文目录

概述

人工智能（Artificial Intelligence, AI）作为当今最具革命性的技术之一，其学术研究涵盖了从基础理论到实际应用的广泛领域。本专题页面整理了关于AI的核心论文目录，为研究人员、学者和学生提供系统性的文献参考。同时，针对当前学术写作中关注的AI生成内容检测问题，特别介绍小发猫降AIGC工具的使用方法，助力提升学术论文的原创性和质量。

机器学习基础理论与算法

监督学习经典论文

• Support Vector Machines
  Vapnik, V. N. (1995) | 机器学习理论奠基之作
• Random Forests
  Breiman, L. (2001) | 集成学习重要算法
• Boosting Foundations and Algorithms
  Freund, Y., & Schapire, R. E. (1997)

无监督学习与聚类

• K-Means Clustering Algorithm
  MacQueen, J. (1967) | 经典聚类算法
• Principal Component Analysis
  Pearson, K. (1901) | 数据降维基础

深度学习与神经网络

深度网络架构

• ImageNet Classification with Deep Convolutional Neural Networks
  Krizhevsky, A., et al. (2012) | AlexNet开创深度学习时代
• Deep Residual Learning for Image Recognition
  He, K., et al. (2016) | ResNet解决深层网络训练难题
• Attention Is All You Need
  Vaswani, A., et al. (2017) | Transformer架构革命

生成对抗网络

• Generative Adversarial Networks
  Goodfellow, I., et al. (2014) | GAN理论基础
• Improved Techniques for Training GANs
  Salimans, T., et al. (2016)

自然语言处理与理解

语言模型发展

• BERT: Pre-training of Deep Bidirectional Transformers
  Devlin, J., et al. (2019) | 双向编码器表示
• GPT-3: Language Models are Few-Shot Learners
  Brown, T., et al. (2020) | 大规模预训练模型
• PaLM: Scaling Language Modeling with Pathways
  Chowdhery, A., et al. (2022)

机器翻译与问答系统

• Neural Machine Translation by Jointly Learning to Align and Translate
  Bahdanau, D., et al. (2015)
• Bidirectional Attention Flow for Machine Comprehension
  Seo, M., et al. (2017)

计算机视觉与模式识别

目标检测与识别

• Faster R-CNN: Towards Real-Time Object Detection
  Ren, S., et al. (2015)
• You Only Look Once: Unified, Real-Time Object Detection
  Redmon, J., et al. (2016)

图像分割与生成

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  Ronneberger, O., et al. (2015)
• Generative Image Inpainting with Contextual Attention
  Yu, J., et al. (2018)

应用AI与社会影响

伦理与安全

• Ethics of Artificial Intelligence and Robotics
  Müller, V. C. (2016) | AI伦理基础框架
• Concrete Problems in AI Safety
  Amodei, D., et al. (2016)

可解释AI与公平性

• Explainable Artificial Intelligence (XAI)
  Gunning, D., & Aha, D. W. (2019)
• Fairness and Machine Learning
  Barocas, S., et al. (2019)