Daftstone / CIMI
☆23Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CIMI
- ☆30Updated last year
- ☆11Updated 2 years ago
- ☆23Updated 3 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Updated last year
- ☆23Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 6 months ago
- ☆19Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 6 months ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆48Updated 3 months ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated last year
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆41Updated 2 years ago
- ☆30Updated 3 years ago
- C-Mixup for NeurIPS 2022☆66Updated 10 months ago
- ☆11Updated 3 years ago
- An offical implementation of EHRDiff [TMLR]☆24Updated 4 months ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆24Updated 4 months ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- ☆21Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆23Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆34Updated 2 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated last year
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆36Updated last year
- ☆17Updated 2 years ago
- Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization☆10Updated 2 years ago
- Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang☆18Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆18Updated last year