yuxi120407 / DIBLinks
Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021
☆14Updated 3 years ago
Alternatives and similar repositories for DIB
Users that are interested in DIB are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Deep Variational Information Bottleneck☆205Updated 7 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- ☆63Updated 5 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
- ☆93Updated 3 years ago
- ☆66Updated 6 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- HSML for ICML 2019☆51Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆212Updated 7 years ago
- ☆32Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆171Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- ☆37Updated 4 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆352Updated 6 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- ARML for ICLR 2020☆42Updated 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
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆201Updated 2 years ago