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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
Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism
Zanjia Tong, Yuhang Chen 외 2명
arXiv (Cornell University)
|
2023
|
421 회 인용
Cloud Programming Simplified: A Berkeley View on Serverless Computing
Eric Jonas, Johann Schleier-Smith 외 12명
arXiv (Cornell University)
|
2019
|
420 회 인용
Model-Based Reinforcement Learning for Atari
Łukasz Kaiser, Mohammad Babaeizadeh 외 12명
arXiv (Cornell University)
|
2019
|
420 회 인용
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev‐Shwartz, Shaked Shammah 외 1명
arXiv (Cornell University)
|
2017
|
420 회 인용
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu, Tengge Hu 외 4명
arXiv (Cornell University)
|
2022
|
420 회 인용
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis, Tommi Jaakkola
arXiv (Cornell University)
|
2018
|
419 회 인용
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman 외 1명
arXiv (Cornell University)
|
2016
|
418 회 인용
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Simon S. Du, Xiyu Zhai 외 2명
arXiv (Cornell University)
|
2018
|
418 회 인용
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara 외 1명
arXiv (Cornell University)
|
2017
|
418 회 인용
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu 외 3명
arXiv (Cornell University)
|
2019
|
417 회 인용
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