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 82 repositories
- AttrVR Public Forked from caichengyi/AttrVR
[ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR
- HPFL Public Forked from shenlei515/HPFL
[ICLR 2025] "Hot-pluggable Federated Learning: briding General and Personalized FL via Dynamic Selection"
- G-effect Public Forked from QizhouWang/G-effect
[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
- ZS-NTTA Public Forked from Aboriginer/ZS-NTTA
[ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
- NoisyRationales Public
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
- Awesome-model-inversion-attack Public Forked from AndrewZhou924/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
- BayesianLM Public Forked from caichengyi/BayesianLM
[NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
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