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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
Attention is not Explanation
Sarthak Jain, Byron Wallace
arXiv (Cornell University)
|
2019
|
489 회 인용
Generating Long Sequences with Sparse Transformers
Rewon Child, Scott Gray 외 2명
arXiv (Cornell University)
|
2019
|
489 회 인용
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Miles Brundage, Shahar Avin 외 24명
arXiv (Cornell University)
|
2018
|
489 회 인용
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski, Yoshua Bengio 외 1명
arXiv (Cornell University)
|
2012
|
488 회 인용
Pixel Recurrent Neural Networks
Aäron van den Oord, Nal Kalchbrenner 외 1명
arXiv (Cornell University)
|
2016
|
488 회 인용
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter E. Clark, Isaac Cowhey 외 5명
arXiv (Cornell University)
|
2018
|
488 회 인용
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu, Juho Lee 외 5명
arXiv (Cornell University)
|
2018
|
486 회 인용
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Laura Leal-Taixé, Anton Milan 외 3명
arXiv (Cornell University)
|
2015
|
486 회 인용
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar 외 4명
arXiv (Cornell University)
|
2018
|
485 회 인용
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao Lin, Lingjing Kong 외 2명
arXiv (Cornell University)
|
2020
|
485 회 인용
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