NLPrinceton / sparse_recoveryLinks
noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing
☆39Updated 7 years ago
Alternatives and similar repositories for sparse_recovery
Users that are interested in sparse_recovery are comparing it to the libraries listed below
Sorting:
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning☆18Updated 3 years ago
- ☆45Updated 6 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 8 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 6 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Active learning for deep learning☆19Updated 7 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Context Selection for Embedding Models☆27Updated 8 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 8 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆75Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 7 years ago
- Proceedings of ICML 2018☆39Updated this week
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 8 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 9 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 8 years ago