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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
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben‐Nun, Alice Shoshana Jakobovits 외 1명
arXiv (Cornell University)
|
2018
|
89 회 인용
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
Xuanqing Liu, Tesi Xiao 외 4명
arXiv (Cornell University)
|
2019
|
89 회 인용
Object Level Visual Reasoning in Videos
Fabien Baradel, Nathalia Neverova 외 3명
arXiv (Cornell University)
|
2018
|
89 회 인용
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan, Haiyang Yu 외 3명
arXiv (Cornell University)
|
2021
|
89 회 인용
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter
Tomi Silander, Petri Kontkanen 외 1명
arXiv (Cornell University)
|
2012
|
89 회 인용
On some additivity problems in quantum information theory
Г. Г. Амосов, A. S. Holevo 외 1명
ArXiv.org
|
2000
|
89 회 인용
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas 외 1명
arXiv (Cornell University)
|
2019
|
89 회 인용
On the Validity of Covariate Adjustment for Estimating Causal Effects
Ilya Shpitser, Tyler J. VanderWeele 외 1명
arXiv (Cornell University)
|
2012
|
89 회 인용
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies 외 30명
arXiv (Cornell University)
|
2023
|
89 회 인용
Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification
Prateek Jain, Sham M. Kakade 외 3명
arXiv (Cornell University)
|
2016
|
89 회 인용
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