Luodian / IIBLinks
☆17Updated 3 years ago
Alternatives and similar repositories for IIB
Users that are interested in IIB are comparing it to the libraries listed below
Sorting:
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- MLTI for ICLR 2022☆30Updated 3 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks☆31Updated 4 years ago
- Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）☆26Updated 4 months ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 6 years ago
- ATS for NeurIPS 2021☆23Updated 3 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- Meta Label Correction for Noisy Label Learning☆86Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆119Updated 3 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- Demo code for the MDAN paper.☆125Updated 5 years ago
- ☆31Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 5 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 3 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆114Updated 5 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆201Updated 7 years ago