Vekteur / probabilistic-calibration-studyLinks
Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)
☆10Updated 2 years ago
Alternatives and similar repositories for probabilistic-calibration-study
Users that are interested in probabilistic-calibration-study are comparing it to the libraries listed below
Sorting:
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- [ICML 2023] Taxonomy-Structured Domain Adaptation☆12Updated last year
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆19Updated 4 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- ☆26Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆16Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Analysis of evidential models☆13Updated 2 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago
- ☆10Updated 5 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆18Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated last month
- ☆14Updated 2 years ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆28Updated 5 months ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆25Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Updated 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
- ☆44Updated 3 months ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆41Updated last year
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆12Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- [ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"☆12Updated 6 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap☆28Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago