Kyubyung Chae's repositories
qqplot.github.io
qqplot's blog
attention
This repository will house a visualization that will attempt to convey instant enlightenment of how Attention works to someone not working in artificial intelligence, with 3Blue1Brown as inspiration
Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
dcpmi
[NAACL24] Official Implementation of Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
travelmaker
bkms final project
ugotme
Uncertainty-Guided Online Test-time Adaptation via Meta-Learning
DomainBed
DomainBed is a suite to test domain generalization algorithms
FL_partial_personalization
Federated Learning with Partial Model Personalization
fortuna
A Library for Uncertainty Quantification.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Google-Image-Scraper
A library to scrap google images
google-research
Google Research
oyster
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
pytorch-leo
Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
RoTTA
[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
ttab
[ICML23] On Pitfalls of Test-Time Adaptation
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
uncertainty-sfda
PyTorch code for Uncertainty-guided Source-free Domain Adaptation
UST
Uncertainty-aware Self-training