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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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The Consciousness Prior
Yoshua Bengio
arXiv (Cornell University)
|
2017
|
108 citations
The Factored Frontier Algorithm for Approximate Inference in DBNs
Kevin P. Murphy, Yair Weiss
arXiv (Cornell University)
|
2013
|
108 citations
Towards Diverse and Natural Image Descriptions via a Conditional GAN
Bo Dai, Sanja Fidler, +2
arXiv (Cornell University)
|
2017
|
108 citations
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning
Kunchang Li, Yali Wang, +5
arXiv (Cornell University)
|
2022
|
108 citations
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Deepak Gotmare, Nitish Shirish Keskar, +2
arXiv (Cornell University)
|
2018
|
107 citations
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen, Zhaohui Yang, +4
arXiv (Cornell University)
|
2019
|
107 citations
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, +1
arXiv (Cornell University)
|
2017
|
107 citations
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu, Yen‐Cheng Liu, +2
arXiv (Cornell University)
|
2018
|
107 citations
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes, Xavi Gonzalvo, +3
arXiv (Cornell University)
|
2016
|
107 citations
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas Thome, +3
arXiv (Cornell University)
|
2019
|
107 citations
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