markdtw / temperature-scaling-tensorflow
On Calibration of Modern Neural Networks - tensorflow implementation
☆30Updated 6 years ago
Related projects: ⓘ
- Label shift experiments☆15Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆21Updated 4 years ago
- An implementation of MixMatch with PyTorch☆37Updated 3 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆44Updated 4 years ago
- ☆29Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆75Updated 2 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- Custom loss functions to use in (mainly) PyTorch.☆35Updated 3 years ago
- SNAIL Attention Block for Keras.☆16Updated 4 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 3 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆74Updated 10 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆55Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- ☆11Updated this week
- Code for the paper "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"☆12Updated 5 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆10Updated 2 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆13Updated last year
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆24Updated this week
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆11Updated 6 years ago
- A simple algorithm to identify and correct for label shift.☆22Updated 6 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 3 years ago
- Machine Learning package allowing faster cross-validation☆18Updated 5 years ago
- ☆61Updated last year
- understanding kl divergence using 1D Gaussians☆14Updated 5 years ago
- ☆24Updated 2 years ago