교수

세계적 연구와 열정적 교육으로
미래 인재를 이끄는 멘토들입니다

이재호

이재호교수

학력
  • 2015~2019University of Illinois at Urbana-Champaign (박사-Electrical & Computer Engineering)
  • 2013~2015University of Illinois at Urbana-Champaign (석사-Electrical & Computer Engineering)
  • ~2013한국과학기술원 (KAIST) 공학사-전기및전자공학, 경영과학 복수전공
주요경력
  • 2022 - POSTECH 전자전기공학과, 조교수
  • 2019 - 2022 한국과학기술원 (KAIST) 연수연구원 / 전문연구요원
  • 2013 - 2013 The Heritage Foundation (Center for Data Analysis) Research Fellow
전문분야
펼쳐보기
학회발표
    • Approximation Power of Neural Networks: Old and New
      Guest lecture, UNIST AI 2021
    • A Deeper Look at the Layerwise Sparsity of the Magnitude-based Pruning
      Google/Deepmind Sparsity Group 2020
연구실적
    • Meta-Learning Sparse Implicit Neural Representations
      Advances in Neural Information Processing Systems (NeurIPS) 2021
    • Layer-Adaptive Sparsity for the Magnitude-based Pruning
      International Conference on Learning Representations (ICLR) 2021
    • Minimum Width for Universal Approximation
      International Conference on Learning Representations (ICLR spotlight) 2021
    • Provable Memorization via Deep Neural Networks using Sub-linear Parameters
      Conference on Learning Theory (COLT) 2021
    • MASKER: Masked Keyword Regularization for Reliable Text Classification
      AAAI Conference on Artificial Intelligence (AAAI) 2021

    Co2L: Contrastive Continual Learning

목록