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)☆27Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- ☆24Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆17Updated 2 years ago
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Updated last year
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 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
- 🎋 NeurIPS 2024: Official repository for the paper 'RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier'☆11Updated last month
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆22Updated last year
- MetaMix for ICML 2021☆27Updated 4 years ago
- ☆16Updated last year
- Towards understanding modern generative data augmentation techniques.☆27Updated 2 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10Updated last year
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21Updated 3 years ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆19Updated 7 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
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 3 years ago
- Reliable Conflictive Multi-view Learning☆86Updated last year
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆31Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 4 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- A PyTorch implementation of the Variational approach for PU learning☆30Updated 4 years ago