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