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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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9999+ results
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, +4
arXiv (Cornell University)
|
2018
|
199 citations
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis, Benjamin Mitzkus, +6
arXiv (Cornell University)
|
2019
|
199 citations
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz, Leonid Karlinsky, +7
arXiv (Cornell University)
|
2018
|
199 citations
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search
BoRui Wu, Yanghan Wang, +4
arXiv (Cornell University)
|
2018
|
199 citations
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang, +2
arXiv (Cornell University)
|
2019
|
199 citations
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, +1
arXiv (Cornell University)
|
2018
|
199 citations
Simultaneous Detection and Segmentation
Bharath Hariharan, Pablo Arbeláez, +2
arXiv (Cornell University)
|
2014
|
199 citations
Strong Completeness and Faithfulness in Bayesian Networks
Christopher Meek
arXiv (Cornell University)
|
2013
|
199 citations
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin, Pau Rodríguez, +1
arXiv (Cornell University)
|
2018
|
199 citations
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, +4
arXiv (Cornell University)
|
2019
|
199 citations
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