salesforce / NeuralBayesLinks
☆24Updated 4 months ago
Alternatives and similar repositories for NeuralBayes
Users that are interested in NeuralBayes are comparing it to the libraries listed below
Sorting:
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- ☆24Updated 5 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- ☆65Updated last year
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- ☆61Updated 2 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Language Model Baselines for PyTorch☆41Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 5 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- ☆25Updated last year
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ZForcing Repo☆40Updated 7 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- ☆14Updated 6 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Implementation of Information Dropout☆39Updated 8 years ago