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Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Quantum Software Engineering: Landscapes and Horizons
Jianjun Zhao
arXiv (Cornell University)
|
2020
|
118 회 인용
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Karin Hedström, Leander Weber 외 6명
arXiv (Cornell University)
|
2022
|
118 회 인용
Reinforcement Learning Neural Turing Machines - Revised
Wojciech Zaremba, Ilya Sutskever
arXiv (Cornell University)
|
2015
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118 회 인용
Review of multi-fidelity models
M. Giselle Fernández-Godino
arXiv (Cornell University)
|
2016
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118 회 인용
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Chongyang Tao, Lili Mou 외 2명
arXiv (Cornell University)
|
2017
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118 회 인용
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga 외 40명
arXiv (Cornell University)
|
2023
|
118 회 인용
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Chenguang Zhu, Michael Zeng 외 1명
arXiv (Cornell University)
|
2018
|
118 회 인용
Simple Baselines for Human Pose Estimation and Tracking
Bin Xiao, Haiping Wu 외 1명
arXiv (Cornell University)
|
2018
|
118 회 인용
Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li 외 4명
arXiv (Cornell University)
|
2017
|
118 회 인용
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton 외 4명
arXiv (Cornell University)
|
2018
|
118 회 인용
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