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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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Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker, Ingmar Kanitscheider, +5
arXiv (Cornell University)
|
2019
|
335 citations
Fractional Max-Pooling
Benjamin Graham
arXiv (Cornell University)
|
2014
|
335 citations
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, +2
arXiv (Cornell University)
|
2015
|
335 citations
Matterport3D: Learning from RGB-D Data in Indoor Environments
Anne Lynn S. Chang, Angela Dai, +7
arXiv (Cornell University)
|
2017
|
334 citations
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, +5
arXiv (Cornell University)
|
2017
|
333 citations
Peer-to-Peer Communication Across Network Address Translators
Bryan Ford, P. Srisuresh, +1
ArXiv.org
|
2006
|
332 citations
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
Derek Doran, Sarah Schulz, +1
arXiv (Cornell University)
|
2017
|
332 citations
Billion-scale semi-supervised learning for image classification
İsmet Zeki Yalnız, Hervé Jeǵou, +3
arXiv (Cornell University)
|
2019
|
331 citations
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, +3
arXiv (Cornell University)
|
2020
|
331 citations
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, +4
arXiv (Cornell University)
|
2019
|
331 citations
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