chl8856 / SEFSLinks
Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
☆23Updated 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"☆22Updated 2 years ago
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆18Updated 2 years ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆59Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆147Updated 3 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆84Updated last year
- Neural Additive Models (Google Research)☆71Updated 4 years ago
- PyTorch implementation for Neural Additive Models☆25Updated 4 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆21Updated last year
- Monte Carlo Flow Models for Data Imputation☆19Updated 5 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆56Updated 3 weeks ago
- ☆31Updated 3 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆54Updated last year
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- ☆19Updated 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
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆199Updated 7 months ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆26Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 8 months ago
- ☆62Updated 4 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year