TMLR Group

Trustworthy Machine Learning and Reasoning Group

Hong Kong

Pinned Repositories

AttrVR
[ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR
Language:Python2 0 00
BayesianLM
[NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
Language:Python91
CausalCOAT
[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
Language:Jupyter Notebook19 0 00
DeepInception
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
Language:Python135 4 013
EOE
[ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
Language:Python12 0 00
G-effect
[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
Language:Python70
MC-GRA
[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
Language:Python32 1 02
NegLabel
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
Language:Python18 1 01
NoisyRationales
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
Language:Python34 4 02
WCA
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
Language:Python49 0 03

TMLR Group's Repositories

tmlr-group/WCA
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
Language:Python49 0 03
tmlr-group/NoisyRationales
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
Language:Python34 4 02
tmlr-group/CausalCOAT
[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
Language:Jupyter Notebook19 0 00
tmlr-group/NegLabel
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
Language:Python18 1 01
tmlr-group/PART
[ICML 2024] "Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training"
Language:Python14 0 00
tmlr-group/EOE
[ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
Language:Python12 0 00
tmlr-group/CoPA
[NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"
Language:Jupyter Notebook10 0 0
tmlr-group/SMM
[ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"
Language:Python10 0 02
tmlr-group/BayesianLM
[NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"
Language:Python91
tmlr-group/CoVer
[NeurIPS 2024] "What If the Input is Expanded in OOD Detection?"
Language:Python8 0 0
tmlr-group/G-effect
[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
Language:Python70
tmlr-group/SCT
[NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"
Language:Python7 0 01
tmlr-group/MOKD
[ICML 2024] "MOKD: Cross-domain Finetuning via Maximizing Optimized Kernel Dependence"
Language:Python4 0 0
tmlr-group/FABFlex
[ICLR 2025] "Fast and Accurate Blind Flexible Docking"
3
tmlr-group/NeuralAtom
[ICLR 2024] "Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel"
Language:Python3 0 0
tmlr-group/ZS-NTTA
[ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
Language:Python3
tmlr-group/AttrVR
[ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR
Language:Python2 0 00
tmlr-group/FeAT
[NeurIPS 2023] "Understanding and Improving Feature Learning for Out-of-Distribution Generalization"
Language:Python2 0 00
tmlr-group/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
1
tmlr-group/SCIE
[AAAI 2025] "Eliciting Causal Abilities in Large Language Models for Reasoning Tasks"
1
tmlr-group/.github
0 3 00
tmlr-group/PPDG-MI
[NeurIPS 2024] "Pseudo-Private Data Guided Model Inversion Attacks"
Language:Jupyter Notebook0 3 00
tmlr-group/Co-Boosting-PaddlePaddle
[ICLR 2024] "Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting" Paddlepaddle version
tmlr-group/FedFed-paddle
[NeurIPS 2023] Paddle verison code of "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
Language:Python0 0
tmlr-group/FuseFL
[NeurIPS 2024 Spotlight] "FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion"
Language:Python0 0
tmlr-group/GMT
[ICML 2024] "How Interpretable Are Interpretable Graph Neural Networks?"
Language:Python0 0
tmlr-group/HPFL
[ICLR 2025] "Hot-pluggable Federated Learning: Briding General and Personalized FL via Dynamic Selection"
tmlr-group/tmlr-group.github.io
Language:JavaScript
tmlr-group/Twin-sight-paddle
[ICLR 2024] Paddle verison code of "Robust Training of Federated Models with Extremely Label Deficiency"
tmlr-group/W-DOE
[TPAMI 2025] "W-DOE: Wasserstein Distribution-agnostic Outlier Exposure"