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Yahoo Research
- Mountain View, CA, USA
- dmhyun.github.io
- @DongminHyun1
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
An open-source NLP research library, built on PyTorch.
Train transformer language models with reinforcement learning.
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
BARTScore: Evaluating Generated Text as Text Generation
Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"
Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation
A Toolkit for Neural Review-based Recommendation models with Pytorch.
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
Implementation of paper "Learning to Encode Text as Human-Readable Summaries using GAN"
The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.
Code for the ACL 2022 paper "Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning"
Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, accepted at SIGIR 2023
The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
The official source code for "Relational Self-Supervised Learning on Graphs"
The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.