zdchu / CoNAL
Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.
☆11Updated 4 years ago
Alternatives and similar repositories for CoNAL
Users that are interested in CoNAL are comparing it to the libraries listed below
Sorting:
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- ☆16Updated last year
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- ☆22Updated 5 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- ☆30Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated last year
- Build PyTorch CIFAR100 using coarse labels☆38Updated 4 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆59Updated 3 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- ☆44Updated last month
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- ☆37Updated 2 years ago
- This is an Uncertainty Study Arxiv☆11Updated 2 months ago
- ☆14Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆36Updated 3 years ago