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TianxinWei (@weitianxin)

weitianxin

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awesome-distribution-shift

A curated list of papers and resources about the distribution shift in machine learning.

MACR

[KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

HyperGCL

[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

UniMP

[ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

CLOVER

[KDD 2022] Comprehensive Fair Meta-learned Recommender System

MLP_Fusion

[ICML 2023] NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning

Graph_Pool

To build a better graph classification model

weitianxin.github.io