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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei 외 4명
arXiv (Cornell University)
|
2020
|
632 회 인용
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur, Maximilian Mumme 외 2명
arXiv (Cornell University)
|
2018
|
632 회 인용
Towards Deep Neural Network Architectures Robust to Adversarial Examples
Shixiang Gu, Luca Rigazio
arXiv (Cornell University)
|
2014
|
632 회 인용
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger, Chris Biemann 외 2명
arXiv (Cornell University)
|
2017
|
632 회 인용
An Empirical Study of Smoothing Techniques for Language Modeling
Stanley F. Chen, Joshua Goodman
ArXiv.org
|
1996
|
631 회 인용
Dimensional Reduction in Quantum Gravity
Rusishvili, Mikheil
arXiv (Cornell University)
|
1993
|
631 회 인용
Metric and Generalized Projection Operators in Banach Spaces: Properties and Applications
Ya. I. Alber
arXiv (Cornell University)
|
1993
|
631 회 인용
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan, Vivek Miglani 외 9명
arXiv (Cornell University)
|
2020
|
630 회 인용
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng 외 6명
arXiv (Cornell University)
|
2017
|
630 회 인용
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y. Guan 외 3명
arXiv (Cornell University)
|
2018
|
630 회 인용
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