JiahaoChen1 / CalibrationLinks
☆15Updated 2 years ago
Alternatives and similar repositories for Calibration
Users that are interested in Calibration are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Dist-PU (CVPR 2022)☆28Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆22Updated last year
- MetaMix for ICML 2021☆27Updated 4 years ago
- ☆24Updated 2 years ago
- Towards understanding modern generative data augmentation techniques.☆27Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆19Updated 8 months ago
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Updated 2 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆21Updated 7 months ago
- ☆17Updated 2 years ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- A list of papers for group meeting☆18Updated last month
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- A PyTorch implementation of the Variational approach for PU learning☆30Updated 5 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆57Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆41Updated last year
- Analysis of evidential models☆14Updated 2 years ago
- ☆26Updated 2 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆24Updated 3 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- Reliable Conflictive Multi-view Learning☆86Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆110Updated 2 years ago
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Updated last year
- ☆10Updated 3 years ago