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
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang, Jiangtong Li 외 3명
arXiv (Cornell University)
|
2018
|
92 회 인용
Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison, Aja Huang 외 2명
arXiv (Cornell University)
|
2014
|
92 회 인용
Multi-Objective Deep Reinforcement Learning
Hossam Mossalam, Yannis Assael 외 2명
arXiv (Cornell University)
|
2016
|
92 회 인용
Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen, Leonidas Guibas 외 1명
arXiv (Cornell University)
|
2014
|
92 회 인용
Neural Episodic Control
Alexander Pritzel, Benigno Uría 외 6명
arXiv (Cornell University)
|
2017
|
92 회 인용
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
Steffen Rendle, Li Zhang 외 1명
arXiv (Cornell University)
|
2019
|
92 회 인용
On the relation between accuracy and fairness in binary classification
Indrė Žliobaitė
arXiv (Cornell University)
|
2015
|
92 회 인용
Optical diode based on the chirality of guided photons
C. Sayrin, Christian Junge 외 6명
arXiv (Cornell University)
|
2015
|
92 회 인용
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton, Maximilian Balandat 외 1명
arXiv (Cornell University)
|
2021
|
92 회 인용
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh N. Vu, My T. Thai
arXiv (Cornell University)
|
2020
|
92 회 인용
525
526
527
528
529
