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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
Sparse factor analysis for learning and content analytics
Andrew Lan, Andrew E. Waters 외 2명
arXiv (Cornell University)
|
2014
|
133 회 인용
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph H. Lampert
arXiv (Cornell University)
|
2021
|
133 회 인용
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Thársis T. P. Souza 외 2명
arXiv (Cornell University)
|
2015
|
133 회 인용
Unleashing the potential of prompt engineering for large language models
B.‐C. CHEN, Zhaofeng Zhang 외 2명
arXiv (Cornell University)
|
2023
|
133 회 인용
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon 외 1명
arXiv (Cornell University)
|
2022
|
133 회 인용
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
Alexander Rietzler, Sebastian Stabinger 외 2명
arXiv (Cornell University)
|
2019
|
132 회 인용
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda 외 1명
arXiv (Cornell University)
|
2023
|
132 회 인용
Automatic Anomaly Detection in the Cloud Via Statistical Learning
Jordan Hochenbaum, Owen Vallis 외 1명
arXiv (Cornell University)
|
2017
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132 회 인용
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao, Bao Gia Doan 외 6명
arXiv (Cornell University)
|
2020
|
132 회 인용
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
arXiv (Cornell University)
|
2018
|
132 회 인용
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