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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
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
Thomas Dean, Robert Givan 외 1명
arXiv (Cornell University)
|
2013
|
104 회 인용
Nonlinear Approximation and (Deep) ReLU Networks
Ingrid Daubechies, Ronald DeVore 외 3명
arXiv (Cornell University)
|
2019
|
104 회 인용
Orthogonal Random Features
Felix X. Yu, Ananda Theertha Suresh 외 3명
arXiv (Cornell University)
|
2016
|
104 회 인용
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal 외 1명
arXiv (Cornell University)
|
2018
|
104 회 인용
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan 외 6명
arXiv (Cornell University)
|
2022
|
104 회 인용
Pearl's Calculus of Intervention Is Complete
Yimin Huang, Marco Valtorta
arXiv (Cornell University)
|
2012
|
104 회 인용
Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov 외 7명
arXiv (Cornell University)
|
2018
|
104 회 인용
Practical Uses of Belief Functions
Philippe Smets
arXiv (Cornell University)
|
2013
|
104 회 인용
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
Titouan Parcollet, Mohamed Morchid 외 1명
arXiv (Cornell University)
|
2018
|
104 회 인용
Rethinking floating point for deep learning
Jeff Johnson
arXiv (Cornell University)
|
2018
|
104 회 인용
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