macaodha / explain_teachLinks
Teaching Categories to Human Learners with Visual Explanations - CVPR 2018
☆11Updated 2 years ago
Alternatives and similar repositories for explain_teach
Users that are interested in explain_teach are comparing it to the libraries listed below
Sorting:
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- BISON: Binary Image SelectiON☆49Updated 3 years ago
- Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆22Updated 5 years ago
- For visual commonsense model☆34Updated 6 years ago
- ☆34Updated 6 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 10 months ago
- Cluttered Omniglot dataset and models☆47Updated 6 years ago
- SSL using PyTorch☆49Updated 5 years ago
- Adversarial Discriminative Domain Adaptation in Chainer☆24Updated 7 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Parsing"☆12Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)☆38Updated 4 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 5 months ago
- a list of recent papers on transfer learning☆24Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆61Updated 4 years ago
- Code for Temporal Relation Networks☆24Updated 7 years ago
- ☆61Updated 2 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Torch implementation of orthoreg.☆15Updated 3 years ago
- f-GANs in an Information Geometric Nutshell☆13Updated 7 years ago
- Implementation of Virtual adversarial training with chainer☆40Updated 7 years ago
- Capsule research with our trivial contribution☆53Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- Code for Decorrelated Batch Normalization☆82Updated 7 years ago