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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Emergent Complexity via Multi-Agent Competition
Trapit Bansal, Jakub Pachocki 외 3명
arXiv (Cornell University)
|
2017
|
146 회 인용
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic, Ayan Chakrabarti 외 1명
arXiv (Cornell University)
|
2016
|
146 회 인용
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
arXiv (Cornell University)
|
2017
|
146 회 인용
Game-Theoretic Multiagent Reinforcement Learning
Yaodong Yang, Ma, Chengdong 외 5명
arXiv (Cornell University)
|
2020
|
146 회 인용
Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
Josh A. Goldstein, Girish Sastry 외 4명
arXiv (Cornell University)
|
2023
|
146 회 인용
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio 외 1명
arXiv (Cornell University)
|
2019
|
146 회 인용
Learning Deep Representations of Fine-grained Visual Descriptions
Scott Reed, Zeynep Akata 외 2명
arXiv (Cornell University)
|
2016
|
146 회 인용
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert 외 2명
arXiv (Cornell University)
|
2019
|
146 회 인용
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto 외 3명
arXiv (Cornell University)
|
2019
|
146 회 인용
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 회 인용
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