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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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AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen, Chongjian Ge, +5
arXiv (Cornell University)
|
2022
|
260 citations
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer, Thomas S. A. Wallis, +1
arXiv (Cornell University)
|
2016
|
260 citations
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari, +3
arXiv (Cornell University)
|
2019
|
260 citations
Fully Connected Deep Structured Networks
Alexander G. Schwing, Raquel Urtasun
arXiv (Cornell University)
|
2015
|
260 citations
Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova, Victor Lempitsky
arXiv (Cornell University)
|
2016
|
260 citations
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, +6
arXiv (Cornell University)
|
2020
|
260 citations
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koç, +14
arXiv (Cornell University)
|
2016
|
260 citations
Agnostic Federated Learning
Mehryar Mohri, Gary Sivek, +1
arXiv (Cornell University)
|
2019
|
259 citations
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, +3
arXiv (Cornell University)
|
2018
|
259 citations
Deep $k$-Means: Jointly clustering with $k$-Means and learning representations
Maziar Moradi Fard, Thibaut Thonet, +1
arXiv (Cornell University)
|
2018
|
259 citations
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