ml-research / NeSyXILLinks
☆35Updated 4 years ago
Alternatives and similar repositories for NeSyXIL
Users that are interested in NeSyXIL are comparing it to the libraries listed below
Sorting:
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 4 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- ☆34Updated 4 years ago
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆102Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Semantic Loss code☆62Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- ☆33Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- PyTorch implementation of SmoothTaylor☆15Updated 4 years ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Updated 3 years ago
- ☆38Updated 4 years ago
- Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"☆29Updated 5 years ago
- ☆96Updated 3 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 3 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- ☆45Updated 5 years ago
- ☆42Updated 2 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago