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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
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
arXiv (Cornell University)
|
2018
|
300 회 인용
Characterizing Entanglement via Uncertainty Relations
Otfried Gühne
arXiv (Cornell University)
|
2003
|
300 회 인용
Entanglement in graph states and its applications
M. Hein, Wolfgang Dür 외 4명
arXiv (Cornell University)
|
2006
|
300 회 인용
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu 외 4명
arXiv (Cornell University)
|
2017
|
300 회 인용
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal, Krishnamurthy Dvijotham 외 7명
arXiv (Cornell University)
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2018
|
300 회 인용
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.
Nicolas Papernot, Patrick McDaniel 외 4명
arXiv (Cornell University)
|
2016
|
300 회 인용
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini 외 2명
arXiv (Cornell University)
|
2017
|
300 회 인용
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Junho Kim, Minjae Kim 외 2명
arXiv (Cornell University)
|
2019
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300 회 인용
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan İrsoy 외 7명
arXiv (Cornell University)
|
2023
|
299 회 인용
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
Regina Barzilay, Lillian Lee
ArXiv.org
|
2004
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299 회 인용
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