JWoong148 / MetaPerturb
Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)
☆13Updated 3 years ago
Alternatives and similar repositories for MetaPerturb:
Users that are interested in MetaPerturb are comparing it to the libraries listed below
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆17Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- Pytorch implementation of neural processes and variants☆27Updated 8 months ago
- ☆36Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Neural Bootstrapper (NeuBoots)☆25Updated 3 years ago
- KAIST AI605 Deep Learning for NLP☆31Updated 2 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆173Updated 8 months ago
- [ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA☆16Updated 2 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆13Updated 3 years ago
- ☆14Updated 5 years ago
- Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"☆33Updated last year
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- mo papers mo problems☆20Updated 5 years ago
- Belief matching framework official implementation☆39Updated 2 years ago
- The official code repository for MetricMT - a reward optimization method for NMT with learned metrics☆25Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆13Updated last year
- ☆29Updated 2 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 6 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 4 years ago
- ☆38Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆40Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- MATLAB implementation of variable elimination in bayesian networks☆10Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- pytorch implementation for "Mutual Information Neural Estimation"☆11Updated 5 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago