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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
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din, Elena Ivannikova 외 5명
arXiv (Cornell University)
|
2019
|
215 회 인용
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor, Shubhendu Trivedi
arXiv (Cornell University)
|
2018
|
215 회 인용
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application
Weiran Wang, Miguel Á. Carreira-Perpiñán
arXiv (Cornell University)
|
2013
|
215 회 인용
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
Sheng Zhang, Xiaodong Liu 외 4명
arXiv (Cornell University)
|
2018
|
215 회 인용
Some Ontological Principles for Designing Upper Level Lexical Resources
Nicola Guarino
arXiv (Cornell University)
|
1998
|
215 회 인용
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du 외 2명
arXiv (Cornell University)
|
2020
|
215 회 인용
The Power of Depth for Feedforward Neural Networks
Ronen Eldan, Ohad Shamir
arXiv (Cornell University)
|
2015
|
215 회 인용
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn, Paul F. Christiano 외 2명
arXiv (Cornell University)
|
2016
|
214 회 인용
BERTje: A Dutch BERT Model
Wietse de Vries, Andreas van Cranenburgh 외 4명
arXiv (Cornell University)
|
2019
|
214 회 인용
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo Lopes, Stefano Fenu 외 1명
arXiv (Cornell University)
|
2017
|
214 회 인용
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