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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
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
arXiv (Cornell University)
|
2023
|
140 회 인용
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi, Ranya Almohsen 외 2명
arXiv (Cornell University)
|
2018
|
140 회 인용
Geometric Models of Rolling-Shutter Cameras
Marci Meingast, S. Shankar Sastry 외 1명
ArXiv.org
|
2005
|
140 회 인용
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan 외 8명
arXiv (Cornell University)
|
2022
|
140 회 인용
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao, Zhizhen Zhao 외 2명
arXiv (Cornell University)
|
2019
|
140 회 인용
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
N. Siddharth, Brooks Paige 외 6명
arXiv (Cornell University)
|
2017
|
140 회 인용
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
arXiv (Cornell University)
|
2017
|
140 회 인용
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Nicholas Carlini, David Wagner
arXiv (Cornell University)
|
2017
|
140 회 인용
Network Pruning via Transformable Architecture Search
Xuanyi Dong, Yi Yang
arXiv (Cornell University)
|
2019
|
140 회 인용
Planning under Continuous Time and Resource Uncertainty: A Challenge for AI
John Bresina, Richard Dearden 외 4명
arXiv (Cornell University)
|
2012
|
140 회 인용
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