lunanbit / UUlearningLinks
Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".
☆28Updated 6 years ago
Alternatives and similar repositories for UUlearning
Users that are interested in UUlearning are comparing it to the libraries listed below
Sorting:
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- [NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"☆51Updated 5 months ago
- Wasserstein Based Domain Adaptation Model☆46Updated 7 years ago
- ☆24Updated 9 months ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- ☆34Updated 7 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 5 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Gold Loss Correction☆88Updated 7 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 5 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆35Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- ☆23Updated 5 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Updated 6 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆54Updated 4 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆22Updated 6 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Lifelong Variational Autoencoder☆15Updated 8 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 8 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated 2 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 8 years ago