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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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Quantum Software Engineering: Landscapes and Horizons
Jianjun Zhao
arXiv (Cornell University)
|
2020
|
118 citations
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Karin Hedström, Leander Weber, +6
arXiv (Cornell University)
|
2022
|
118 citations
Reinforcement Learning Neural Turing Machines - Revised
Wojciech Zaremba, Ilya Sutskever
arXiv (Cornell University)
|
2015
|
118 citations
Review of multi-fidelity models
M. Giselle Fernández-Godino
arXiv (Cornell University)
|
2016
|
118 citations
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Chongyang Tao, Lili Mou, +2
arXiv (Cornell University)
|
2017
|
118 citations
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, +40
arXiv (Cornell University)
|
2023
|
118 citations
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Chenguang Zhu, Michael Zeng, +1
arXiv (Cornell University)
|
2018
|
118 citations
Simple Baselines for Human Pose Estimation and Tracking
Bin Xiao, Haiping Wu, +1
arXiv (Cornell University)
|
2018
|
118 citations
Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li, +4
arXiv (Cornell University)
|
2017
|
118 citations
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton, +4
arXiv (Cornell University)
|
2018
|
118 citations
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