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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
Learning under Concept Drift: an Overview
Indrė Žliobaitė
arXiv (Cornell University)
|
2010
|
235 회 인용
Pyramid Attention Network for Semantic Segmentation
Hanchao Li, Pengfei Xiong 외 2명
arXiv (Cornell University)
|
2018
|
235 회 인용
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz 외 1명
arXiv (Cornell University)
|
2018
|
235 회 인용
Slimmable Neural Networks
Jiahui Yu, Linjie Yang 외 3명
arXiv (Cornell University)
|
2018
|
235 회 인용
Spatio-temporal video autoencoder with differentiable memory
Viorica Pătrăucean, Ankur Handa 외 1명
arXiv (Cornell University)
|
2015
|
235 회 인용
A Note on the Inception Score
Shane Barratt, Rishi Sharma
arXiv (Cornell University)
|
2018
|
234 회 인용
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang 외 6명
arXiv (Cornell University)
|
2022
|
234 회 인용
Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu, Miltiadis Allamanis 외 2명
arXiv (Cornell University)
|
2018
|
234 회 인용
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu 외 3명
arXiv (Cornell University)
|
2019
|
234 회 인용
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
Yang Liu, Chengjie Sun 외 2명
arXiv (Cornell University)
|
2016
|
234 회 인용
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