yichen928 / Multivariate_Shapley_Interactions
Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021)
☆31Updated 4 years ago
Alternatives and similar repositories for Multivariate_Shapley_Interactions:
Users that are interested in Multivariate_Shapley_Interactions are comparing it to the libraries listed below
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)☆38Updated 6 months ago
- An interpretable network to compute the Shapley values in a single forward propagation.☆16Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 11 months ago
- Bayesian Attention Modules☆35Updated 4 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- ☆46Updated 2 years ago
- C-Mixup for NeurIPS 2022☆70Updated last year
- ICLR2023 statistics☆60Updated last year
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆86Updated last year
- ☆70Updated 2 years ago
- Integrated gradients attribution method implemented in PyTorch☆27Updated 4 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆62Updated last year
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Updated 3 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- [ICML 2020] Continuously Indexed Domain Adaptation☆118Updated 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
- ☆35Updated last year
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- ☆99Updated 10 months ago
- Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".☆18Updated 8 months ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆18Updated last month
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆112Updated last year