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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
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model
Baolin Peng, Chunyuan Li 외 4명
arXiv (Cornell University)
|
2020
|
88 회 인용
SOLOv2: Dynamic, Faster and Stronger.
Xinlong Wang, Rufeng Zhang 외 3명
arXiv (Cornell University)
|
2020
|
88 회 인용
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
Boris Ginsburg, Patrice Castonguay 외 8명
arXiv (Cornell University)
|
2019
|
88 회 인용
The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou 외 6명
arXiv (Cornell University)
|
2022
|
88 회 인용
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah, Kaustav Tamuly 외 3명
arXiv (Cornell University)
|
2020
|
88 회 인용
The Predictron: End-To-End Learning and Planning
David Silver, Hado van Hasselt 외 9명
arXiv (Cornell University)
|
2016
|
88 회 인용
The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case
Edward Farhi, David Gamarnik 외 1명
arXiv (Cornell University)
|
2020
|
88 회 인용
The return of AdaBoost.MH: multi-class Hamming trees
Balázs Kégl
arXiv (Cornell University)
|
2013
|
88 회 인용
THUMT: An Open Source Toolkit for Neural Machine Translation
Jiacheng Zhang, Yanzhuo Ding 외 5명
arXiv (Cornell University)
|
2017
|
88 회 인용
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein 외 2명
arXiv (Cornell University)
|
2018
|
88 회 인용
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