Pinned Repositories
opendataval
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
beta_shapley
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
dagmm-1
A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
DataInf
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
dataoob
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
fast_dist_shapley
Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
variational_autoencoder
variational_autoencoder
wdro_local_perturbation
Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
WeightedSHAP
WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
ykwon0407's Repositories
ykwon0407/UQ_BNN
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
ykwon0407/valid-oversample
Valid Oversampling Schemes to Handle Imbalance
ykwon0407/DataShapley
Data Shapley: Equitable Valuation of Data for Machine Learning
ykwon0407/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
ykwon0407/data-centric-ai
Resources for Data Centric AI
ykwon0407/Influence_Subsampling
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
ykwon0407/pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
ykwon0407/removal-explanations
A lightweight implementation of removal-based explanations for ML models.
ykwon0407/tcav
Code for the TCAV ML interpretability project
ykwon0407/automatedglaucomadetection
ykwon0407/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
ykwon0407/cleanlab
The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
ykwon0407/dist_stat
Code to accompany the paper "High-Performance Statistical Computing in the Computing Environment of the 2020s".
ykwon0407/DIW
Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
ykwon0407/embracenet
Robust multimodal integration method implemented in TensorFlow
ykwon0407/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
ykwon0407/Fast-and-Accurate-Least-Mean-Squares-Solvers
Implementation of the algorithms presented in the paper "Fast and Accurate Least-Mean-Squares Solvers".
ykwon0407/google-research
Google Research
ykwon0407/ISDEvaluation
Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
ykwon0407/M1399_000200-2021fall
Advanced Statistical Computing @ Seoul National University, 2021
ykwon0407/multiSnpnet
multiSnpnet: Fast multi-phenotype sparse reduced rank regression on large SNP data
ykwon0407/mvpmm
MultiVariate Polygenic Mixture Model
ykwon0407/opendata4covid19
Korean COVID-19 data extraction
ykwon0407/prison_escape
Prisoner's Dilemma research environment.
ykwon0407/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
ykwon0407/RAL
RAL - Reinforced stream-based Active Learning
ykwon0407/shapley-regression
For calculating Shapley values via linear regression.
ykwon0407/verified_calibration
Code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
ykwon0407/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
ykwon0407/WMMD_PU
Source code for "Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric"