Jinsol-Lee
Ph.D. student at Georgia Institute of Technology
Georgia Institute of TechnologyAtlanta, GA
Jinsol-Lee's Stars
tsiege/Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
JetBrains/lets-plot
Multiplatform plotting library based on the Grammar of Graphics
fra31/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
sungyubkim/MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
alinlab/CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
deeplearning-wisc/knn-ood
Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
ndb796/Pytorch-Adversarial-Training-CIFAR
This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
artemyk/ibsgd
seominseok0429/label-smoothing-visualization-pytorch
When Does Label Smoothing Help?_pytorch_implementationimp
hlin117/mdlp-discretization
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
jkbren/einet
Uncertainty and causal emergence in complex networks
kfzyqin/Research-Softmax-with-Mutual-Information
Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
deeplearning-wisc/large_scale_ood
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
brain-research/ncp
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
deeplearning-wisc/gradnorm_ood
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
liuye6666/adaptive_auto_attack
Adversarial Robustness, White-box, Adversarial Attack
adityashrm21/information-theory-deep-learning
Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
hrayrhar/limit-label-memorization
Improving generalization by controlling label-noise information in neural network weights.
paulbrodersen/entropy_based_binning
Entropy based binning of discrete variables.
zeke-xie/artificial-neural-variability-for-deep-learning
[Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.
sphinxteam/dnner
Deep Neural Networks Entropy from Replicas
mfederici/dsit
Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
EI-research-group/deep-ei
Tools for examining the causal structure of artificial neural networks with information theory
konstantinklemmer/spate-gan
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
mutual-ai/Information-Bottleneck-for-Deep-Learning
Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.
KaosEngineer/structured-uncertainty
marylou-gabrie/learning-synthetic-data
Package to run learning experiments on synthetic datasets using dnner package for replica entropy computations
jayjaynandy/maximize-representation-gap
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
ivansche/adaptive_estimators
Code for ICLR 2019 paper "Adaptive Estimators Show Information Compression in Deep Neural Networks" (https://openreview.net/forum?id=SkeZisA5t7)