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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
Hierarchical Question-Image Co-Attention for Visual Question Answering
Jiasen Lu, Jianwei Yang 외 2명
arXiv (Cornell University)
|
2016
|
1,216 회 인용
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan 외 7명
arXiv (Cornell University)
|
2020
|
1,213 회 인용
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov, Stephen Tyree 외 3명
arXiv (Cornell University)
|
2016
|
1,204 회 인용
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
arXiv (Cornell University)
|
2019
|
1,200 회 인용
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang 외 8명
arXiv (Cornell University)
|
2021
|
1,195 회 인용
Agile Software Development Methods: Review and Analysis
Pekka Abrahamsson, Outi Salo 외 2명
arXiv (Cornell University)
|
2017
|
1,192 회 인용
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye, Nicholas Carlini 외 1명
arXiv (Cornell University)
|
2018
|
1,189 회 인용
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang
arXiv (Cornell University)
|
2017
|
1,189 회 인용
Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou 외 33명
arXiv (Cornell University)
|
2022
|
1,182 회 인용
Simplifying Graph Convolutional Networks
Felix Wu, Tianyi Zhang 외 4명
arXiv (Cornell University)
|
2019
|
1,182 회 인용
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