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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
Experiments with Random Projection
Sanjoy Dasgupta
arXiv (Cornell University)
|
2013
|
318 회 인용
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You, Rex Ying 외 3명
arXiv (Cornell University)
|
2018
|
318 회 인용
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk, Lukasz Wawrzyniak 외 9명
arXiv (Cornell University)
|
2021
|
318 회 인용
Semantic Image Inpainting with Perceptual and Contextual Losses.
Raymond A. Yeh, Chen Chen 외 3명
arXiv (Cornell University)
|
2016
|
318 회 인용
A survey of dimensionality reduction techniques
Carlos Óscar S. Sorzano, Javier Vargas 외 1명
arXiv (Cornell University)
|
2014
|
317 회 인용
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren, Cunjun Yu 외 5명
arXiv (Cornell University)
|
2020
|
317 회 인용
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner 외 3명
arXiv (Cornell University)
|
2016
|
317 회 인용
Improving Tag-Clouds as Visual Information Retrieval Interfaces
Yusef Hassan‐Montero, Víctor Herrero-Solana
arXiv (Cornell University)
|
2024
|
317 회 인용
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
ArXiv.org
|
2009
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317 회 인용
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou, Nathanael Schärli 외 9명
arXiv (Cornell University)
|
2022
|
317 회 인용
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