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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
Curved Space Optimization: A Random Search based on General Relativity Theory
Fereydoun Farrahi Moghaddam, Reza Farrahi Moghaddam 외 1명
arXiv (Cornell University)
|
2012
|
97 회 인용
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi, Osvald Nitski 외 2명
arXiv (Cornell University)
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2020
|
97 회 인용
Deep Learning with S-shaped Rectified Linear Activation Units
Xiaojie Jin, Chunyan Xu 외 4명
arXiv (Cornell University)
|
2015
|
97 회 인용
Deep Successor Reinforcement Learning
Tejas D. Kulkarni, Ardavan Saeedi 외 2명
arXiv (Cornell University)
|
2016
|
97 회 인용
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
DeepSeek-AI, Liu, Aixin 외 155명
arXiv (Cornell University)
|
2024
|
97 회 인용
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
Shikib Mehri, Mihail Eric 외 1명
arXiv (Cornell University)
|
2020
|
97 회 인용
Differential Recurrent Neural Networks for Action Recognition
Vivek Veeriah, Naifan Zhuang 외 1명
arXiv (Cornell University)
|
2015
|
97 회 인용
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review
V. B. Surya Prasath, Haneen Arafat Abu Alfeilat 외 5명
arXiv (Cornell University)
|
2017
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97 회 인용
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta 외 2명
arXiv (Cornell University)
|
2018
|
97 회 인용
Dropout as data augmentation
Xavier Bouthillier, Kishore Konda 외 2명
arXiv (Cornell University)
|
2015
|
97 회 인용
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