lfhase Goto Github PK

2019-scalingattack

Image-Scaling Attacks and Defenses

acl19_subtagger

Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-drugai

Research repo for AI aided drug discovery, de novo drug development and related topics

awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

ciga

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

competitive-programming

My solutions to some Competitive Programming-like problems in Codeforces, Code Jam, Kick Start, LeetCode etc.

di-star

OpenDILab Decision AI in StarCraftII

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

domainbed

DomainBed is a suite to test domain generalization algorithms

drugood

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

feat

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

fish

Official implementation of paper Gradient Matching for Domain Generalization

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

gala

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

gia-hao

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

good

[SOTA results in GOOD benchmark🚀] CIGA Implementation under GOOD Benchamrk

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

hexo-theme-journal

隻言片語・於此匯聚 – Moments piled up. Live demo →

interpretable-ml-book

Book about interpretable machine learning

interpreteval

Interpretable Evaluation for (Almost) All NLP Tasks

invarianceunittests

Toy datasets to evaluate algorithms for domain generalization and invariance learning.

ish

Linux shell for iOS

learning_cs224n

My approach to CS224n [AT] Stanford 2019Winter -- Natural Language Processing with Deep Learning. 💡

learning_cs224w

My approach to CS224w [AT] Stanford 2019 : )

lfhase

lfhase.github.io

personal website

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