locuslab / lml
The Limited Multi-Label Projection Layer
☆57Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for lml
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Learning with latent language☆50Updated 3 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 4 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆55Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago