aviralkumar2907 / MMCELinks
☆19Updated 7 years ago
Alternatives and similar repositories for MMCE
Users that are interested in MMCE are comparing it to the libraries listed below
Sorting:
- ☆63Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆34Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Updated 5 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Updated 6 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- ☆21Updated 2 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 11 months ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- ☆37Updated 4 years ago
- ☆30Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated 3 weeks ago
- ☆50Updated 2 years ago
- ☆40Updated 5 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 3 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago