Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers 发表于 2023-02-24 更新于 2023-04-18 分类于 论文阅读 , 多模态 原始论文: Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers 文章idea 阅读全文 »
UNITER: learning universal image-text representations 发表于 2023-02-24 更新于 2023-04-18 分类于 论文阅读 , 多模态 原始论文: UNITER: learning universal image-text representations 文章idea 阅读全文 »
an image is worth 16x16 words: transformers for image recognition at scale 发表于 2023-02-24 更新于 2023-04-18 分类于 论文阅读 原始论文: an image is worth 16x16 words: transformers for image recognition at scale 文章主旨 阅读全文 »
Deep & Cross Network for Ad Click Predictions 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文: Deep & Cross Network for Ad Click Predictions 代码示例:dcn.py
Field-aware Factorization Machines for CTR Prediction 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文:Field-aware Factorization Machines for CTR Prediction 代码示例:ffm.py 理论解读 阅读全文 »
Factorization Machines 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文: Factorization Machines 代码实例:fm.py 理论解读 阅读全文 »
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文:Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction 代码示例fnn.py 理论解读 阅读全文 »
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文: DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 代码示例:dfm.py 文章idea 阅读全文 »
Product-based Neural Networks for User Response Prediction 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文: Product-based Neural Networks for User Response Prediction 代码示例:pnn.py 理论解读 阅读全文 »
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 发表于 2023-02-23 更新于 2023-04-18 分类于 代码解读 , 推荐系统 原始论文: xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 代码示例xdfm.py 文章idea 阅读全文 »