TongtongFANG / DIWView external linksLinks
Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
☆30Apr 9, 2021Updated 4 years ago
Alternatives and similar repositories for DIW
Users that are interested in DIW are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical☆12May 12, 2024Updated last year
- [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classifi…☆21Aug 12, 2025Updated 6 months ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated last year
- ☆11Sep 16, 2023Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Apr 18, 2023Updated 2 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- [ICLR 2025 Spotlight] Realistic Evaluation of Deep Partial-Label Learning Algorithms☆13Feb 2, 2025Updated last year
- ☆12Jul 17, 2023Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated 8 months ago
- ☆13Mar 16, 2019Updated 6 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Jun 27, 2024Updated last year
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Sep 9, 2022Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Dec 23, 2022Updated 3 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Jan 26, 2023Updated 3 years ago
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Jan 14, 2024Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated last year
- [NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"☆51Sep 5, 2025Updated 5 months ago
- ☆25Jul 15, 2021Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Feb 2, 2022Updated 4 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 2 years ago
- ☆31Oct 13, 2021Updated 4 years ago
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆16Aug 8, 2025Updated 6 months ago
- Python codes for weakly-supervised learning☆125Apr 3, 2020Updated 5 years ago
- An R library for estimating causal effects☆12Apr 25, 2025Updated 9 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Jul 19, 2023Updated 2 years ago
- rebuilds and completes models of protein complexes using AlphaFold2☆15Jan 22, 2026Updated 3 weeks ago
- ☆11Oct 19, 2023Updated 2 years ago
- The software toolkits we developed for our paper in ACM CHI 2024.☆38Jan 2, 2026Updated last month
- A Structural Average of Labeled Merge Trees for Uncertainty Visualization☆11Apr 22, 2024Updated last year
- Geodesic updates for Nickel & Kiela's graph embedding algorithm in hyperbolic space.☆11Jun 6, 2018Updated 7 years ago
- ☆10Jun 24, 2023Updated 2 years ago
- A nonparametric variational information bottleneck (NVIB) layer in Pytorch☆11Apr 15, 2025Updated 10 months ago
- Implementation of CPF clustering method.☆10May 7, 2025Updated 9 months ago
- Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy☆20May 19, 2025Updated 8 months ago
- ☆10Apr 30, 2025Updated 9 months ago
- ☆10Jun 14, 2023Updated 2 years ago
- ☆12Apr 9, 2025Updated 10 months ago