Trustworthy Machine Learning and Reasoning (TMLR) Group, an online-offline-mixed machine learning research group, locates in different cities, including Hong Kong, Melbourne, Shanghai, Nottingham and Sydney. We share the vision for the future ML technology: building trustworthy learning and reasoning algorithms, theories and systems.
TMLR Group
Trustworthy Machine Learning and Reasoning Group
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Repositories
Showing 10 of 83 repositories
- W-DOE Public Forked from QizhouWang/W-DOE
[TPAMI 2025] "W-DOE: Wasserstein Distribution-agnostic Outlier Exposure"
tmlr-group/W-DOE’s past year of commit activity - AttrVR Public Forked from caichengyi/AttrVR
[ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR
tmlr-group/AttrVR’s past year of commit activity - HPFL Public Forked from shenlei515/HPFL
[ICLR 2025] "Hot-pluggable Federated Learning: Briding General and Personalized FL via Dynamic Selection"
tmlr-group/HPFL’s past year of commit activity - NoisyRationales Public
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
tmlr-group/NoisyRationales’s past year of commit activity - Awesome-model-inversion-attack Public Forked from AndrewZhou924/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
tmlr-group/Awesome-model-inversion-attack’s past year of commit activity
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