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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
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama, Cyprien de Masson d’Autume 외 9명
arXiv (Cornell University)
|
2019
|
156 회 인용
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe, Holger Schwenk
arXiv (Cornell University)
|
2018
|
156 회 인용
Measuring Calibration in Deep Learning
Jeremy Nixon, Mike Dusenberry 외 5명
arXiv (Cornell University)
|
2019
|
156 회 인용
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Rémi Tachet des Combes 외 2명
arXiv (Cornell University)
|
2019
|
156 회 인용
PanNuke Dataset Extension, Insights and Baselines
Jevgenij Gamper, Navid Alemi Koohbanani 외 7명
arXiv (Cornell University)
|
2020
|
156 회 인용
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
Wenhan Xiong, Jingfei Du 외 2명
arXiv (Cornell University)
|
2019
|
156 회 인용
Quantifying Memorization Across Neural Language Models
Nicholas Carlini, Daphne Ippolito 외 4명
arXiv (Cornell University)
|
2022
|
156 회 인용
RetinaMask: A Face Mask detector
Mingjie Jiang, Xinqi Fan 외 1명
arXiv (Cornell University)
|
2020
|
156 회 인용
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Guilherme Penedo, Quentin Malartic 외 7명
arXiv (Cornell University)
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2023
|
156 회 인용
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed, Shreya Shankar 외 5명
arXiv (Cornell University)
|
2018
|
155 회 인용
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