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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 Complexity via Multi-Agent Competition
Trapit Bansal, Jakub Pachocki, +3
arXiv (Cornell University)
|
2017
|
146 citations
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic, Ayan Chakrabarti, +1
arXiv (Cornell University)
|
2016
|
146 citations
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
arXiv (Cornell University)
|
2017
|
146 citations
Game-Theoretic Multiagent Reinforcement Learning
Yaodong Yang, Ma, Chengdong, +5
arXiv (Cornell University)
|
2020
|
146 citations
Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
Josh A. Goldstein, Girish Sastry, +4
arXiv (Cornell University)
|
2023
|
146 citations
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, +1
arXiv (Cornell University)
|
2019
|
146 citations
Learning Deep Representations of Fine-grained Visual Descriptions
Scott Reed, Zeynep Akata, +2
arXiv (Cornell University)
|
2016
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146 citations
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert, +2
arXiv (Cornell University)
|
2019
|
146 citations
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto, +3
arXiv (Cornell University)
|
2019
|
146 citations
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
Hamid Reza Vaezi Joze, Oscar Koller
arXiv (Cornell University)
|
2018
|
146 citations
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