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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
Human Motion Diffusion Model
Guy Tevet, Sigal Raab 외 4명
arXiv (Cornell University)
|
2022
|
166 회 인용
Just Say No to Single Embeddings: Why Your AI Needs Multiple Perspectives
Andy Coenen, Emily Reif 외 5명
arXiv (Cornell University)
|
2019
|
166 회 인용
Learning to Optimize
Ke Li, Jitendra Malik
arXiv (Cornell University)
|
2016
|
166 회 인용
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng 외 3명
arXiv (Cornell University)
|
2022
|
166 회 인용
Multi-Stage Learning for Grasp-Constrained Object Manipulation with a Simulated Panda Robot
Acs, Matthew, Zhong, Xiangnan
arXiv (Cornell University)
|
2020
|
166 회 인용
Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph 외 8명
arXiv (Cornell University)
|
2017
|
166 회 인용
Reasoning with Individuals for the Description Logic SHIQ
Ian Horrock, Ulrike Sattler 외 1명
ArXiv.org
|
2000
|
166 회 인용
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul F. Christiano, Zain Shah 외 6명
arXiv (Cornell University)
|
2016
|
166 회 인용
TSM: Temporal Shift Module for Efficient Video Understanding
Ji Lin, Chuang Gan 외 1명
arXiv (Cornell University)
|
2018
|
166 회 인용
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken 외 4명
arXiv (Cornell University)
|
2019
|
166 회 인용
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