LFhase/FeAT

Stars
23
Rank 1,011,100 (Top 21 %)
Language
Python
Created 11 months ago
Updated 3 months ago

LFhase/FeAT

LFhase

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

Learning_CS224w

My approach to CS224w [AT] Stanford 2019 : )

CIGA

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

PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

Jupyter Notebook

GIA-HAO

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

GALA

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

Learning_CS224N

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

Research_Navigation

Recordings of my research navigation, including paper/book reading notes and related implementations

Jupyter Notebook

GMT

[ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?

Competitive-Programming

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

LFhase.github.io

personal website