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:
- Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning☆18Updated 3 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 8 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
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 8 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.☆26Updated 8 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- ☆61Updated 2 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- ☆45Updated 6 years ago
- ☆48Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Updated 5 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Active learning for deep learning☆19Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- ☆38Updated 7 years ago