kheyer / OTDD
Python implementation of Geometric Dataset Distances via Optimal Transport
☆34Updated last year
Alternatives and similar repositories for OTDD:
Users that are interested in OTDD are comparing it to the libraries listed below
- ☆34Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 9 months ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆46Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆134Updated last year
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Updated last year
- ☆18Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 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
- LISA for ICML 2022☆47Updated last year
- ☆58Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 4 years ago
- ☆42Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆130Updated 4 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Updated 3 years ago
- ☆31Updated 4 years ago
- C-Mixup for NeurIPS 2022☆68Updated last year
- ☆46Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Calibration of Convolutional Neural Networks☆160Updated last year
- ☆21Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago