Awesome-Agentic-Reasoning. A curated list of papers and resources based on the survey "Agentic Reasoning for Large Language Models"
1.3kawesome-distribution-shift. A curated list of papers and resources about the distribution shift in machine learning.
128MACR. [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
79HyperGCL. [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
65UniMP. [ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
23MLP_Fusion. [ICML 2023] NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
10CLOVER. [KDD 2022] Comprehensive Fair Meta-learned Recommender System
8DCCL. [KDD 2025] Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization (DCCL)
5Graph_Pool. To build a better graph classification model
3weitianxin.github.io. HTML
1GraphCL. [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
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