p-lambda / in-n-outLinks
Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
☆13Updated 4 years ago
Alternatives and similar repositories for in-n-out
Users that are interested in in-n-out are comparing it to the libraries listed below
Sorting:
- Post-processing for fair classification☆16Updated 6 months ago
- ☆14Updated 5 years ago
- ☆38Updated 4 years ago
- ☆10Updated 3 years ago
- ☆12Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 3 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Explanation Optimization☆13Updated 5 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- ☆14Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- ☆32Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- ☆47Updated 2 years ago
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Updated 3 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- ☆18Updated 3 years ago
- Official code repository for Correct-N-Contrast☆23Updated 3 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated 2 years ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆20Updated 2 years ago
- ☆34Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- ☆63Updated 4 years ago