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:
- A Python Package for Non-stationary Online Learning (PyNOL)☆31Updated last year
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated last year
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Updated 3 years ago
- Connectivity-contrastive learning (CCL)☆10Updated 2 years ago
- ☆36Updated last year
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- ☆11Updated last month
- 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
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 10 months ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆18Updated last year
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆12Updated 5 months ago
- ☆28Updated 5 months ago
- ☆35Updated 2 years ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago
- ☆25Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- ☆42Updated 4 months ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆20Updated last year
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 2 years ago
- Code for the paper "Group-Fairness in Influence Maximization"☆24Updated 5 years ago
- ☆23Updated last year
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆40Updated last year
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆106Updated 5 months ago
- ☆10Updated 3 years ago