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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
Thomas Dean, Robert Givan, +1
arXiv (Cornell University)
|
2013
|
104 citations
Nonlinear Approximation and (Deep) ReLU Networks
Ingrid Daubechies, Ronald DeVore, +3
arXiv (Cornell University)
|
2019
|
104 citations
Orthogonal Random Features
Felix X. Yu, Ananda Theertha Suresh, +3
arXiv (Cornell University)
|
2016
|
104 citations
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, +1
arXiv (Cornell University)
|
2018
|
104 citations
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan, +6
arXiv (Cornell University)
|
2022
|
104 citations
Pearl's Calculus of Intervention Is Complete
Yimin Huang, Marco Valtorta
arXiv (Cornell University)
|
2012
|
104 citations
Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov, +7
arXiv (Cornell University)
|
2018
|
104 citations
Practical Uses of Belief Functions
Philippe Smets
arXiv (Cornell University)
|
2013
|
104 citations
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
Titouan Parcollet, Mohamed Morchid, +1
arXiv (Cornell University)
|
2018
|
104 citations
Rethinking floating point for deep learning
Jeff Johnson
arXiv (Cornell University)
|
2018
|
104 citations
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