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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
Valence Induction with a Head-Lexicalized PCFG
Glenn R. Carroll, Mats Rooth
ArXiv.org
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1998
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122 회 인용
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert
arXiv (Cornell University)
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2013
|
121 회 인용
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda 외 2명
arXiv (Cornell University)
|
2019
|
121 회 인용
An Evaluation of the Human-Interpretability of Explanation
Isaac Lage, Emily Chen 외 5명
arXiv (Cornell University)
|
2019
|
121 회 인용
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo, Youzhi Gu 외 3명
arXiv (Cornell University)
|
2019
|
121 회 인용
Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
Dragomir Radev, Hongyan Jing 외 1명
ArXiv.org
|
2000
|
121 회 인용
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Ming Ding, Wendi Zheng 외 2명
arXiv (Cornell University)
|
2022
|
121 회 인용
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Jaehyeon Kim, Jungil Kong 외 1명
arXiv (Cornell University)
|
2021
|
121 회 인용
Customized Segment Anything Model for Medical Image Segmentation
Kaidong Zhang, Dong Liu
arXiv (Cornell University)
|
2023
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121 회 인용
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg, José Miguel Hernández-Lobato 외 2명
arXiv (Cornell University)
|
2017
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121 회 인용
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