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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
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini, Saadia Gabriel 외 4명
arXiv (Cornell University)
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2019
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119 회 인용
Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the "Rashomon" Perspective
Aaron Fisher, Cynthia Rudin 외 1명
arXiv (Cornell University)
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2018
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119 회 인용
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai, Zhuoran Yang 외 2명
arXiv (Cornell University)
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2018
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119 회 인용
Multi-modal Self-Supervision from Generalized Data Transformations
Mandela Patrick, Yuki M. Asano 외 5명
arXiv (Cornell University)
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2021
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119 회 인용
Muse: Text-To-Image Generation via Masked Generative Transformers
Hui‐Wen Chang, Han Zhang 외 10명
arXiv (Cornell University)
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2023
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119 회 인용
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
arXiv (Cornell University)
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2017
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119 회 인용
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Anish Athalye, Nicholas Carlini
arXiv (Cornell University)
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2018
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119 회 인용
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Michael Figurnov, Aijan Ibraimova 외 2명
arXiv (Cornell University)
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2015
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119 회 인용
Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (2002)
Adnan Darwiche, Nir Friedman
arXiv (Cornell University)
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2013
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119 회 인용
PupilNet: Convolutional Neural Networks for Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini 외 2명
arXiv (Cornell University)
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2016
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119 회 인용
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