Skip to main content
Nubint
エージェント
リソース
料金プラン
会社概要
JA
Home
論文レビュー
Computer Science
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。
すべて
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
Filter
9999+ results
Valence Induction with a Head-Lexicalized PCFG
Glenn R. Carroll, Mats Rooth
ArXiv.org
|
1998
|
122 citations
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert
arXiv (Cornell University)
|
2013
|
121 citations
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda, +2
arXiv (Cornell University)
|
2019
|
121 citations
An Evaluation of the Human-Interpretability of Explanation
Isaac Lage, Emily Chen, +5
arXiv (Cornell University)
|
2019
|
121 citations
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo, Youzhi Gu, +3
arXiv (Cornell University)
|
2019
|
121 citations
Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
Dragomir Radev, Hongyan Jing, +1
ArXiv.org
|
2000
|
121 citations
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Ming Ding, Wendi Zheng, +2
arXiv (Cornell University)
|
2022
|
121 citations
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Jaehyeon Kim, Jungil Kong, +1
arXiv (Cornell University)
|
2021
|
121 citations
Customized Segment Anything Model for Medical Image Segmentation
Kaidong Zhang, Dong Liu
arXiv (Cornell University)
|
2023
|
121 citations
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg, José Miguel Hernández-Lobato, +2
arXiv (Cornell University)
|
2017
|
121 citations
385
386
387
388
389