archon159 / SELORLinks
☆40Updated last year
Alternatives and similar repositories for SELOR
Users that are interested in SELOR are comparing it to the libraries listed below
Sorting:
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 2 years ago
- ☆14Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆30Updated 3 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 3 years ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆14Updated 8 months ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 10 months ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 2 years ago
- ☆16Updated 3 years ago
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- ☆11Updated 4 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆52Updated 2 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆119Updated last year
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆27Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023☆14Updated last year
- ☆25Updated last year
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆58Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆58Updated last year