chl8856 / SEFSLinks
Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
☆24Updated 2 years ago
Alternatives and similar repositories for SEFS
Users that are interested in SEFS are comparing it to the libraries listed below
Sorting:
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆23Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆25Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆19Updated 2 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆60Updated 2 years ago
- Local explanations with uncertainty 💐!☆41Updated 2 years ago
- A benchmark for distribution shift in tabular data☆57Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆152Updated 5 years ago
- ☆62Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆58Updated 2 months ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- Monte Carlo Flow Models for Data Imputation☆19Updated 5 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆26Updated 3 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 3 years ago
- PyTorch implementation for Neural Additive Models☆25Updated 5 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 3 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆86Updated last year
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year
- ☆18Updated 2 years ago
- ☆16Updated 3 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆205Updated last month
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 3 years ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆26Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year