akosiorek / stacked_capsule_autoencodersLinks
☆81Updated 3 years ago
Alternatives and similar repositories for stacked_capsule_autoencoders
Users that are interested in stacked_capsule_autoencoders are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of the Stacked Capsule Autoencoders☆108Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 5 years ago
- Code for Self-Routing Capsule Networks☆52Updated 4 months ago
- ☆124Updated 3 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- [ICLR'20] [PyTorch] Inverted Attention Routing for Capsules☆30Updated 5 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 6 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆188Updated 6 years ago
- ☆83Updated 2 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago
- ☆66Updated 6 years ago