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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
Approximate Inference and Constrained Optimization
Tom Heskes, Kees Albers 외 1명
arXiv (Cornell University)
|
2012
|
87 회 인용
Arabic Offensive Language on Twitter: Analysis and Experiments
Hamdy Mubarak, Ammar Rashed 외 3명
arXiv (Cornell University)
|
2020
|
87 회 인용
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore, Radu Călinescu 외 1명
arXiv (Cornell University)
|
2019
|
87 회 인용
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
Jo Schlemper, Ozan Oktay 외 6명
arXiv (Cornell University)
|
2018
|
87 회 인용
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed K. Gunady 외 2명
arXiv (Cornell University)
|
2020
|
87 회 인용
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti, Viveka Kulharia 외 4명
arXiv (Cornell University)
|
2020
|
87 회 인용
Causal Discovery with Reinforcement Learning
Shengyu Zhu, Ignavier Ng 외 1명
arXiv (Cornell University)
|
2019
|
87 회 인용
Causal Machine Learning: A Survey and Open Problems
Jean Kaddour, Aengus Lynch 외 3명
arXiv (Cornell University)
|
2022
|
87 회 인용
Character-level and Multi-channel Convolutional Neural Networks for Large-scale Authorship Attribution
Sebastian Ruder, Parsa Ghaffari 외 1명
arXiv (Cornell University)
|
2016
|
87 회 인용
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
H Le, Yue Wang 외 3명
arXiv (Cornell University)
|
2022
|
87 회 인용
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