ermongroup / subsetsLinks
Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
☆57Updated 2 years ago
Alternatives and similar repositories for subsets
Users that are interested in subsets are comparing it to the libraries listed below
Sorting:
- ☆65Updated last year
- Learning To Stop While Learning To Predict☆34Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- ☆14Updated 6 years ago
- implements optimal transport algorithms in pytorch☆104Updated 3 years ago
- ☆44Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆119Updated 5 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- ☆34Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆54Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- ☆32Updated 3 years ago
- ☆21Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆50Updated 2 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
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- ☆41Updated 5 years ago
- ☆24Updated 9 months ago