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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
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou, Josh Beal 외 4명
arXiv (Cornell University)
|
2018
|
137 회 인용
GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
Dan Hendrycks, Steven Basart 외 3명
arXiv (Cornell University)
|
2021
|
137 회 인용
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO
Logan Engstrom, Andrew Ilyas 외 5명
arXiv (Cornell University)
|
2020
|
137 회 인용
Implementation of Shor's algorithm on a linear nearest neighbour qubit array
Austin G. Fowler, Simon J. Devitt 외 1명
arXiv (Cornell University)
|
2004
|
137 회 인용
Learning Factored Representations in a Deep Mixture of Experts
David Eigen, Marc’Aurelio Ranzato 외 1명
arXiv (Cornell University)
|
2013
|
137 회 인용
Linear and Order Statistics Combiners for Pattern Classification
Kagan Tumer, Joydeep Ghosh
ArXiv.org
|
1999
|
137 회 인용
Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
Luciano Serafini, Artur d’Avila Garcez
arXiv (Cornell University)
|
2016
|
137 회 인용
Long-term Temporal Convolutions for Action Recognition
Gül Varol, Ivan Laptev 외 1명
arXiv (Cornell University)
|
2016
|
137 회 인용
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang, Anitha Kannan 외 2명
arXiv (Cornell University)
|
2017
|
137 회 인용
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos 외 7명
arXiv (Cornell University)
|
2015
|
137 회 인용
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