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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
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
Abhijit Guha Roy, Nassir Navab 외 1명
arXiv (Cornell University)
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2018
|
158 회 인용
Data for Development: the D4D Challenge on Mobile Phone Data
Vincent D. Blondel, Markus Esch 외 7명
arXiv (Cornell University)
|
2012
|
158 회 인용
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu 외 2명
arXiv (Cornell University)
|
2017
|
158 회 인용
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar, Aditi Raghunathan 외 3명
arXiv (Cornell University)
|
2022
|
158 회 인용
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran 외 2명
arXiv (Cornell University)
|
2020
|
158 회 인용
MuRIL: Multilingual Representations for Indian Languages
Simran Khanuja, Diksha Bansal 외 12명
arXiv (Cornell University)
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2021
|
158 회 인용
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn W. Tan 외 2명
arXiv (Cornell University)
|
2018
|
158 회 인용
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao, Leman Akoglu
arXiv (Cornell University)
|
2019
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158 회 인용
Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp, Olivier Sigaud
arXiv (Cornell University)
|
2012
|
158 회 인용
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
Anh‐Tu Nguyen, Jeff Clune 외 3명
arXiv (Cornell University)
|
2016
|
158 회 인용
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