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My paper "Catch-up Mix: Catch-up Class for Struggling Filters in CNN" have been accepted at AAAI-24. (as the co-first author, code will be released!)

Research Interest

  • Data Augmentation, Debiasing Representation
  • Data Inversion, Continual Learning
  • Reinforcement Learning for applying to real-world issues

Experience

  • 2021.01-2021.02 Research Intern, Department of Smart Data, AI Research Center, ETRI, Korea
  • 2021.03-2021.12 Research Intern, Center for Artificial Intelligence, KIST (Korea Institute of Science and Technology)
  • 2016.03-2022.02 Department of Electronic Engineering, Soongsil University, Korea (Bachelor degree, Summa Cum Laude)
  • 2022.03-Present Student Researcher, Center for Artificial Intelligence, KIST (Korea Institute of Science and Technology)
  • 2022.03-Present Master Candidate, Department of Artificial Intelligence, Korea University, Korea

GitHub LinkedIn

Minsoo Kang's Projects

acgan-pytorch icon acgan-pytorch

Unofficial Auxiliary Classifier GAN implementation (based on https://github.com/clvrai/ACGAN-PyTorch)

alwaysbedreaming-dfcil icon alwaysbedreaming-dfcil

PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

cil-zoo icon cil-zoo

Class Incremental Learning (iCaRL, EEIL, BiC) reproduce github repository.

dhp icon dhp

Digital Health Hackathon 2021, Korea 수상작(1st prize)

eswcontest icon eswcontest

This project is an image processing autonomous driving model car.

flow_rl icon flow_rl

Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle

guidedmixup icon guidedmixup

Official PyTorch implementation of "GuidedMixup An Efficient Mixup Strategy Guided by Saliency Maps" (AAAI'23 Oral)

handson-ml icon handson-ml

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

lightweight-segmentation icon lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

odin icon odin

A simple and effective method for detecting out-of-distribution images in neural networks.

rl-constraints-traffic icon rl-constraints-traffic

Decentralized Deep Reinforcement Learning based Real-World Applicable Traffic Signal Optimization

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