geifmany / selectivenetLinks
code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
☆46Updated 6 years ago
Alternatives and similar repositories for selectivenet
Users that are interested in selectivenet are comparing it to the libraries listed below
Sorting:
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated 7 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- ☆63Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- ☆83Updated 2 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆124Updated 2 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- [ICLR 2021] Concept Learners for Few-Shot Learning☆115Updated 2 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- ☆57Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- ☆37Updated 4 years ago