Pinned Repositories
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
ConvLab
DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:
DTG-SI
Code for "Data-to-text Generation with Style Imitation." [Findings of EMNLP 2020]
DTG-SI-data
Data-to-text Generation with Style Imitation.
forte
Forte is a flexible and powerful NLP pipeline FOR TExt.
GEML-MDG
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
MAML-DST
Model-agnostic meta-learning (MAML) for few-shot dialogue state tracking (DST) based on TRADE.
MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
PGCL
The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
PyContrast
PyTorch implementation of Contrastive Learning methods
ha-lins's Repositories
ha-lins/MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
ha-lins/GEML-MDG
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
ha-lins/PGCL
The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
ha-lins/DTG-SI
Code for "Data-to-text Generation with Style Imitation." [Findings of EMNLP 2020]
ha-lins/MAML-DST
Model-agnostic meta-learning (MAML) for few-shot dialogue state tracking (DST) based on TRADE.
ha-lins/DTG-SI-data
Data-to-text Generation with Style Imitation.
ha-lins/forte
Forte is a flexible and powerful NLP pipeline FOR TExt.
ha-lins/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
ha-lins/awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
ha-lins/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
ha-lins/GCKN
Pytorch Implementation of Graph Convolutional Kernel Networks
ha-lins/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
ha-lins/Graph-CLSA
ha-lins/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
ha-lins/ha-lins.github.io
ha-lins/InfoGraph
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
ha-lins/learning-data-manipulation
ha-lins/medical_dialog
ha-lins/mvgrl
ha-lins/MyHomepage
ha-lins/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
ha-lins/OpenBG-CSK
Baselines for CCKS 2022 Task "Commonsense Knowledge Salience Evaluation"
ha-lins/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
ha-lins/PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
ha-lins/shuai.lin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ha-lins/stave
A viewing and annotation interface for NLP tasks
ha-lins/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
ha-lins/Task-Oriented-Dialogue-Dataset-Survey
A dataset survey about task-oriented dialogue, including recent datasets and SOTA results & papers.
ha-lins/texar
Toolkit for Text Generation and Beyond
ha-lins/Text_Style_Transfer_Survey
This repo collects the articles for text attribute transfer