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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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How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, +4
arXiv (Cornell University)
|
2019
|
159 citations
Improving Deep Learning using Generic Data Augmentation
Luke Taylor, Geoff Nitschke
arXiv (Cornell University)
|
2017
|
159 citations
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Wenlong Huang, Pieter Abbeel, +2
arXiv (Cornell University)
|
2022
|
159 citations
Language Models (Mostly) Know What They Know
Saurav Kadavath, Tom Conerly, +34
arXiv (Cornell University)
|
2022
|
159 citations
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu, Zhengdong Lu, +3
arXiv (Cornell University)
|
2016
|
159 citations
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, +3
arXiv (Cornell University)
|
2018
|
159 citations
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification
Shan Lin, Haoliang Li, +2
arXiv (Cornell University)
|
2018
|
159 citations
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry, Yair Carmon
arXiv (Cornell University)
|
2016
|
159 citations
PaLM 2 Technical Report
Rohan Anil, Andrew M. Dai, +126
arXiv (Cornell University)
|
2023
|
159 citations
ProjE: Embedding Projection for Knowledge Graph Completion
Baoxu Shi, Tim Weninger
arXiv (Cornell University)
|
2016
|
159 citations
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