Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Computer Science
Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
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
필터
9999+개의 결과
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay, Mostafa Dehghani 외 8명
arXiv (Cornell University)
|
2020
|
195 회 인용
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang 외 3명
arXiv (Cornell University)
|
2017
|
195 회 인용
On the importance of single directions for generalization
Ari S. Morcos, David G. T. Barrett 외 2명
arXiv (Cornell University)
|
2018
|
195 회 인용
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov 외 3명
arXiv (Cornell University)
|
2018
|
195 회 인용
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac, Adrià Recasens 외 7명
arXiv (Cornell University)
|
2020
|
195 회 인용
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Y.K. Fang, Bencheng Liao 외 6명
arXiv (Cornell University)
|
2021
|
195 회 인용
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu, Jianfeng Wang 외 5명
arXiv (Cornell University)
|
2020
|
194 회 인용
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov 외 3명
arXiv (Cornell University)
|
2018
|
194 회 인용
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning
Raymond J. Mooney
ArXiv.org
|
1996
|
194 회 인용
Evaluation of Text Generation: A Survey
Aslı Çelikyılmaz, Elizabeth Clark 외 1명
arXiv (Cornell University)
|
2020
|
194 회 인용
231
232
233
234
235
