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