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