alexlee01 Goto Github PK

academicpages

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

alexlee01.github.io

annotation-guidelines

aspect-based-sentiment-analysis

A paper list for aspect based sentiment analysis.

aspect-based-sentiment-analysis-1

Aspect-Based Sentiment Analysis Experiments

cdr

ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

chainknowledgegraph

ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。

cl-vqa

the implementation of EMNLP 2020 "Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering"

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

context-debias

counterfactually-augmented-data

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

covidet

This repo contains the dataset for the EMNLP 2022 paper "Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts"

css-vqa

Counterfactual Samples Synthesizing for Robust VQA

dann

Unsupervised Domain Adaptation by Backpropagation

deep-active-learning

Deep Active Learning

deep-learning-examples

深度学习相关的实例

depressionemo

DepressionEmo: A novel dataset for multilabel classification of depression emotions

e-care

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning (ACL 2022 Long Paper)

ed-gated-gcn

Official implementation of the paper "Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks"

eventcube

identifying-depression

Identifying depression based on texts

jasen

Code and Data for our EMNLP-2020 paper Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.

jocor

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

llama2

Inference code for LLaMA models

masking

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

minimal

Minimal is a Jekyll theme for GitHub Pages

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

playbook_comments

ppgcn

r-drop