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Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.
一个仿照牛客网实现的讨论社区,不仅实现了基本的注册,登录,发帖,评论,点赞,回复功能,同时使用前缀树实现敏感词过滤,使用wkhtmltopdf生成长图和pdf,实现网站UV和DAU统计,并将用户头像等信息存于七牛云服务器。
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
Code for "Collaborative Autoencoders for Top-K Hierarchical Recommendations" paper
The PyTorch implementation of LightGCN
MVIN: Learning Multiview Items for Recommendation, SIGIR 2020
[停止维护 请使用note286/xduts]西安电子科技大学研究生学位论文XeLaTeX模板
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)
PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with …
Code and Resources for the Transformer Encoder Reasoning Network (TERN) - https://arxiv.org/abs/2004.09144
Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), accepted for publication in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.
Learning Fragment Self-Attention Embeddings for Image-Text Matching, in ACM MM 2019
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR'21
Context-Aware Multi-View Summarization Network for Image-Text Matching. ACM MM'20
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
code for our CVPR2020 paper "IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval"