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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
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu, Chunhua Shen 외 1명
arXiv (Cornell University)
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2016
|
230 회 인용
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Zhengyao Jiang, Dixing Xu 외 1명
arXiv (Cornell University)
|
2017
|
229 회 인용
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong 외 6명
arXiv (Cornell University)
|
2020
|
229 회 인용
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang, Tianle Liu 외 2명
arXiv (Cornell University)
|
2019
|
229 회 인용
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng, Yiran Zhong 외 6명
arXiv (Cornell University)
|
2020
|
229 회 인용
How Does Batch Normalization Help Optimization?
Shibani Santurkar, Dimitris Tsipras 외 2명
arXiv (Cornell University)
|
2018
|
229 회 인용
Masked Face Recognition Dataset and Application
Zhongyuan Wang, Guangcheng Wang 외 12명
arXiv (Cornell University)
|
2020
|
229 회 인용
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li 외 3명
arXiv (Cornell University)
|
2016
|
229 회 인용
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas, Dan Klein 외 1명
arXiv (Cornell University)
|
2016
|
229 회 인용
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin, Chuanbiao Song 외 3명
arXiv (Cornell University)
|
2019
|
229 회 인용
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