There are 3 repositories under negative-sampling topic.
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
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
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"
A Jax implementation of word2vec's skip-gram model with negative sampling as described in Mikolov et al., 2013
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 taking help of this repo, try to star the repo.
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
PyTorch implementation for " Conditional Negative Sampling for Contrastive Learning of Visual Representations" (https://arxiv.org/abs/2010.02037).
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data (BigData 2021)
published at AAAI 2022
Word2Vec sikp-gram model with negative sampling implementation with python3
Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models
Experimental code for our paper on informative and diverse sampling of negative examples for dense retrieval
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
C/C++ code for word2vec and n-gram Subword model
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
北京大数据技能大赛
SkipGram NegativeSampling implemented in PyTorch.
Implementation of word2vec using negative sampling technique in skipgram model to obtain word vectors
Link Prediction using GNN
Some demo word2vec models implemented with pytorch, including Continuous-Bag-Of-Words / Skip-Gram with Hierarchical-Softmax / Negative-Sampling.
Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL-NLP4ConvAI 2024
Get the Word Embeddings using methods - SVD (single value decomposition) and Skip-Gram with Negative-Sampling