zahraatashgahi / QuickSelection
[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
☆17Updated last year
Alternatives and similar repositories for QuickSelection:
Users that are interested in QuickSelection are comparing it to the libraries listed below
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- PyTorch implementation for Neural Additive Models☆23Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 4 years ago
- ☆116Updated 2 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆106Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆59Updated 3 years ago
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆19Updated 4 years ago
- CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …☆26Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Updated 3 years ago
- ☆33Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- Contrastive neighbor embeddings☆52Updated 9 months ago
- ☆30Updated last year
- ☆41Updated last year
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- A benchmark for distribution shift in tabular data☆49Updated 7 months ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Uniform Manifold Approximation and Projection☆11Updated 3 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆43Updated 10 months ago
- Local explanations with uncertainty 💐!☆39Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year