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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Learning under Concept Drift: an Overview
Indrė Žliobaitė
arXiv (Cornell University)
|
2010
|
235 citations
Pyramid Attention Network for Semantic Segmentation
Hanchao Li, Pengfei Xiong, +2
arXiv (Cornell University)
|
2018
|
235 citations
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz, +1
arXiv (Cornell University)
|
2018
|
235 citations
Slimmable Neural Networks
Jiahui Yu, Linjie Yang, +3
arXiv (Cornell University)
|
2018
|
235 citations
Spatio-temporal video autoencoder with differentiable memory
Viorica Pătrăucean, Ankur Handa, +1
arXiv (Cornell University)
|
2015
|
235 citations
A Note on the Inception Score
Shane Barratt, Rishi Sharma
arXiv (Cornell University)
|
2018
|
234 citations
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, +6
arXiv (Cornell University)
|
2022
|
234 citations
Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu, Miltiadis Allamanis, +2
arXiv (Cornell University)
|
2018
|
234 citations
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu, +3
arXiv (Cornell University)
|
2019
|
234 citations
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
Yang Liu, Chengjie Sun, +2
arXiv (Cornell University)
|
2016
|
234 citations
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