Kamnitsask / ssl_compact_clusteringLinks
Semi-supervised learning via Compact Latent Space Clustering
☆49Updated 6 years ago
Alternatives and similar repositories for ssl_compact_clustering
Users that are interested in ssl_compact_clustering are comparing it to the libraries listed below
Sorting:
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 2 years ago
- A lightweight experimental logging library☆50Updated 11 months ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 5 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆81Updated 5 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- On Certifying Non-uniform Bounds against Adversarial Attacks [ICML 2019]☆7Updated 6 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆52Updated 5 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆51Updated 5 years ago
- A library for evaluating representations.☆76Updated 3 years ago
- Graph Neural Network☆42Updated 3 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆123Updated 6 years ago
- ☆91Updated 6 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆185Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- ☆24Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Slides for my graduate deep learning course at Imperial College.☆6Updated 6 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆37Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago