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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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Sparse factor analysis for learning and content analytics
Andrew Lan, Andrew E. Waters, +2
arXiv (Cornell University)
|
2014
|
133 citations
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph H. Lampert
arXiv (Cornell University)
|
2021
|
133 citations
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Thársis T. P. Souza, +2
arXiv (Cornell University)
|
2015
|
133 citations
Unleashing the potential of prompt engineering for large language models
B.‐C. CHEN, Zhaofeng Zhang, +2
arXiv (Cornell University)
|
2023
|
133 citations
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon, +1
arXiv (Cornell University)
|
2022
|
133 citations
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
Alexander Rietzler, Sebastian Stabinger, +2
arXiv (Cornell University)
|
2019
|
132 citations
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, +1
arXiv (Cornell University)
|
2023
|
132 citations
Automatic Anomaly Detection in the Cloud Via Statistical Learning
Jordan Hochenbaum, Owen Vallis, +1
arXiv (Cornell University)
|
2017
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132 citations
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao, Bao Gia Doan, +6
arXiv (Cornell University)
|
2020
|
132 citations
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
arXiv (Cornell University)
|
2018
|
132 citations
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