YujiaBao / tofuLinks
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
☆14Updated 3 years ago
Alternatives and similar repositories for tofu
Users that are interested in tofu are comparing it to the libraries listed below
Sorting:
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated last year
- Code for the paper "Group-Fairness in Influence Maximization"☆24Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- A Python Package for Non-stationary Online Learning (PyNOL)☆32Updated last year
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- ☆35Updated last year
- ☆12Updated 2 months ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago
- Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"☆11Updated 11 months ago
- ☆14Updated 2 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆18Updated last year
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆82Updated last month
- Connectivity-contrastive learning (CCL)☆10Updated 2 years ago
- AAAI 2024 Accept☆17Updated last year
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆107Updated 6 months ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆13Updated 4 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated 3 months ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆13Updated 6 months ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago
- ☆28Updated 6 months ago
- Non-IID Transfer Learning on Graphs☆13Updated 2 years ago
- ☆23Updated last year
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 2 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Updated 2 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆53Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 3 years ago