Popular repositories Loading
-
train-free-uncertainty
train-free-uncertainty PublicForked from lumimim/train-free-uncertainty
Official Code for "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate, AAAI 2022""
Python
-
variational-imbalanced-regression
variational-imbalanced-regression PublicForked from Wang-ML-Lab/variational-imbalanced-regression
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Python
-
graph-relational-domain-adaptation
graph-relational-domain-adaptation PublicForked from Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
Python
-
energy-based-concept-bottleneck
energy-based-concept-bottleneck PublicForked from xmed-lab/ECBM
[ICLR 2024] Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Jupyter Notebook
-
taxonomy-domain-adaptation
taxonomy-domain-adaptation PublicForked from Wang-ML-Lab/TSDA
[ICML 2023] Taxonomy-Structured Domain Adaptation
Python
-
interpretable-domain-index
interpretable-domain-index PublicForked from Wang-ML-Lab/VDI
[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Python
Repositories
- graph-relational-domain-adaptation Public Forked from Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
- variational-imbalanced-regression Public Forked from Wang-ML-Lab/variational-imbalanced-regression
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
- energy-based-concept-bottleneck Public Forked from xmed-lab/ECBM
[ICLR 2024] Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
- interpretable-domain-index Public Forked from Wang-ML-Lab/VDI
[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
- unified-continual-learning Public Forked from Wang-ML-Lab/unified-continual-learning
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
- train-free-uncertainty Public Forked from lumimim/train-free-uncertainty
Official Code for "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate, AAAI 2022""
- taxonomy-domain-adaptation Public Forked from Wang-ML-Lab/TSDA
[ICML 2023] Taxonomy-Structured Domain Adaptation
- continuous-domain-adaptation Public Forked from hehaodele/CIDA
[ICML 2020] Continuously Indexed Domain Adaptation