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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
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu 외 16명
arXiv (Cornell University)
|
2023
|
99 회 인용
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl, Dami Choi 외 3명
arXiv (Cornell University)
|
2017
|
99 회 인용
Classification Accuracy Score for Conditional Generative Models
Suman Ravuri, Oriol Vinyals
arXiv (Cornell University)
|
2019
|
99 회 인용
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
Pierre Courtiol, Eric W. Tramel 외 2명
arXiv (Cornell University)
|
2018
|
99 회 인용
Classification-Based Anomaly Detection for General Data
Liron Bergman, Yedid Hoshen
arXiv (Cornell University)
|
2020
|
99 회 인용
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli 외 1명
arXiv (Cornell University)
|
2021
|
99 회 인용
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen, Enze Xie 외 4명
arXiv (Cornell University)
|
2021
|
99 회 인용
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Arunesh Mathur, Güneş Acar 외 5명
Lirias (KU Leuven)
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2019
|
99 회 인용
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau, Vineeth N Balasubramanian
arXiv (Cornell University)
|
2016
|
99 회 인용
Deep Modular Co-Attention Networks for Visual Question Answering
Yu Zhou, Jun Yu 외 3명
arXiv (Cornell University)
|
2019
|
99 회 인용
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