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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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LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Wenbo Li, Kun Zhou, +4
arXiv (Cornell University)
|
2021
|
107 citations
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, +3
arXiv (Cornell University)
|
2018
|
107 citations
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
Ben Mildenhall, Pratul P. Srinivasan, +5
arXiv (Cornell University)
|
2019
|
107 citations
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni, Gilles Puy, +7
arXiv (Cornell University)
|
2021
|
107 citations
NeuroRule: A Connectionist Approach to Data Mining
Hongjun Lü, Rudy Setiono, +1
arXiv (Cornell University)
|
2017
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107 citations
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, François Fleuret
arXiv (Cornell University)
|
2018
|
107 citations
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona
arXiv (Cornell University)
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2018
|
107 citations
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Ethan Wilcox, Jon Gauthier, +3
arXiv (Cornell University)
|
2020
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107 citations
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, +2
arXiv (Cornell University)
|
2019
|
107 citations
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
arXiv (Cornell University)
|
2019
|
107 citations
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