A Collection of Data sets and Approaches to UAD in Brain MRI.
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Updated
Apr 29, 2024
A Collection of Data sets and Approaches to UAD in Brain MRI.
Projects webpage
This is the solution for stock-market prediction problem given in flipr 5.0.
One-class classification approach using error of image transformation into one image
This repository is dedicated to small projects and some theoretical material that I used to get into NLP and LLM in a practical and efficient way.
[ICLR 2023] Link Prediction with Non-Contrastive Learning
Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.
Robust Iterative Data Estimation (RIDE)
Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman
This is the code for my master thesis.
A research on self-supervised learning with the interest of applying it into NLP field.
NVIDIA DLI "트랜스포머 기반 자연어 처리 애플리케이션 구축" 워크숍 레포지토리
Self-supervised monocular depth estimation
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
Self-Supervised RGBD Reconstruction from Brain Activity
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
Learning trajectory representations using self-supervision and programmatic supervision.
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
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