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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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AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe, Hinrich Schütze
arXiv (Cornell University)
|
2015
|
204 citations
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Fisher Yu, Haofeng Chen, +6
arXiv (Cornell University)
|
2018
|
204 citations
Distinguishability and Accessible Information in Quantum Theory
Christopher A. Fuchs
ArXiv.org
|
1996
|
204 citations
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Brenden M. Lake, Marco Baroni
arXiv (Cornell University)
|
2017
|
204 citations
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Jaehyeon Kim, Sungwon Kim, +2
arXiv (Cornell University)
|
2020
|
204 citations
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
arXiv (Cornell University)
|
2015
|
204 citations
Neural Variational Inference and Learning in Belief Networks
Andriy Mnih, Karol Gregor
arXiv (Cornell University)
|
2014
|
204 citations
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
Olivier Catoni
ArXiv.org
|
2007
|
204 citations
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer, Ledell Wu, +5
arXiv (Cornell University)
|
2019
|
204 citations
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, +4
arXiv (Cornell University)
|
2021
|
204 citations
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