Stars
ICCV'2023: Holistic Label Correction for Noisy Multi-Label Classification
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
Code and data for EMNLP2019 Paper "Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework" and journal paper "A Neural Expectation-Maximization Frame…
Implementation of topic models based on neural network approaches.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
使用Bert，ERNIE，进行中文文本分类
Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"
[ACL 2021] Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"
Text classification NLP pipeline with transformers
BertViz: Visualize Attention in Transformer Models
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"
Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…