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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
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Rudolf Kadlec, Martin Schmid 외 1명
arXiv (Cornell University)
|
2015
|
92 회 인용
Interpretability via Model Extraction
Osbert Bastani, Carolyn Kim 외 1명
arXiv (Cornell University)
|
2017
|
92 회 인용
Large Language Models for Information Retrieval: A Survey
Yutao Zhu, Huaying Yuan 외 8명
arXiv (Cornell University)
|
2023
|
92 회 인용
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn, Chunliang Li 외 3명
arXiv (Cornell University)
|
2020
|
92 회 인용
Learning Policies with External Memory
Leonid Peshkin, Nicolas Meuleau 외 1명
ArXiv.org
|
2001
|
92 회 인용
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv 외 1명
arXiv (Cornell University)
|
2017
|
92 회 인용
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen, Xiaohan Chen 외 5명
arXiv (Cornell University)
|
2021
|
92 회 인용
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin 외 3명
arXiv (Cornell University)
|
2019
|
92 회 인용
Length Matters: Clustering System Log Messages using Length of Words
Keiichi Shima
arXiv (Cornell University)
|
2016
|
92 회 인용
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani 외 2명
arXiv (Cornell University)
|
2019
|
92 회 인용
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