🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
翻译 - 微调任何 DNN 以更好地嵌入神经搜索任务
#自然语言处理#基于Pytorch和torchtext的自然语言处理深度学习框架。
This repository collects 100 papers related to negative sampling methods.
Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
#自然语言处理#SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
#计算机科学#⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Implements various negative sampling techniques for learning knowledge graph embeddings
Embedding模型代码和学习笔记总结
[Paper][LREC-COLING 2024] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
A PyTorch Implementation of the Skipgram Negative Sampling Word2Vec Model as Described in Mikolov et al.
Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
#自然语言处理#Course Materials (along with assignments) for Intro to NLP, done as a part for requirement of the course "Introduction to NLP" (course-code: CS7.401.S22) @ IIITH. Note: If you are cloning this or tak...
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
A Jax implementation of word2vec's skip-gram model with negative sampling as described in Mikolov et al., 2013
PyTorch implementation for " Conditional Negative Sampling for Contrastive Learning of Visual Representations" (https://arxiv.org/abs/2010.02037).
Cooperation of Retriever and Ranker Framework.
[Paper][IJCNN2023] Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding