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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
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Zhiqing Sun, Hongkun Yu 외 4명
arXiv (Cornell University)
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2020
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90 회 인용
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan, Chun-Fu Chen 외 3명
arXiv (Cornell University)
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2019
|
90 회 인용
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
Finkenzeller, Andreas, Roberts, Andrew 외 4명
arXiv (Cornell University)
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2022
|
90 회 인용
Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
Weitao Feng, Zhihao Hu 외 3명
arXiv (Cornell University)
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2019
|
90 회 인용
Multisided Fairness for Recommendation
Robin Burke
arXiv (Cornell University)
|
2017
|
90 회 인용
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang, Xixu Hu 외 11명
arXiv (Cornell University)
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2023
|
90 회 인용
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang, Xianglong Liu 외 4명
arXiv (Cornell University)
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2017
|
90 회 인용
Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios
Hang Ma, Sven Koenig 외 8명
arXiv (Cornell University)
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2017
|
90 회 인용
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han, Chao Gao 외 3명
arXiv (Cornell University)
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2024
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90 회 인용
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang 외 5명
arXiv (Cornell University)
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2022
|
90 회 인용
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