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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei, +4
arXiv (Cornell University)
|
2020
|
632 citations
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur, Maximilian Mumme, +2
arXiv (Cornell University)
|
2018
|
632 citations
Towards Deep Neural Network Architectures Robust to Adversarial Examples
Shixiang Gu, Luca Rigazio
arXiv (Cornell University)
|
2014
|
632 citations
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger, Chris Biemann, +2
arXiv (Cornell University)
|
2017
|
632 citations
An Empirical Study of Smoothing Techniques for Language Modeling
Stanley F. Chen, Joshua Goodman
ArXiv.org
|
1996
|
631 citations
Dimensional Reduction in Quantum Gravity
Rusishvili, Mikheil
arXiv (Cornell University)
|
1993
|
631 citations
Metric and Generalized Projection Operators in Banach Spaces: Properties and Applications
Ya. I. Alber
arXiv (Cornell University)
|
1993
|
631 citations
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan, Vivek Miglani, +9
arXiv (Cornell University)
|
2020
|
630 citations
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, +6
arXiv (Cornell University)
|
2017
|
630 citations
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y. Guan, +3
arXiv (Cornell University)
|
2018
|
630 citations
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