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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia 외 2명
arXiv (Cornell University)
|
2023
|
171 회 인용
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse 외 2명
arXiv (Cornell University)
|
2019
|
171 회 인용
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.
Peng Peng, Quan Yuan 외 5명
arXiv (Cornell University)
|
2017
|
171 회 인용
Online Batch Selection for Faster Training of Neural Networks
Ilya Loshchilov, Frank Hutter
arXiv (Cornell University)
|
2015
|
171 회 인용
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela
arXiv (Cornell University)
|
2017
|
171 회 인용
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Ahmad B. Hassanat, Mohammad Ali Abbadi 외 2명
arXiv (Cornell University)
|
2014
|
171 회 인용
Supervised quantum machine learning models are kernel methods
Maria Schuld
arXiv (Cornell University)
|
2021
|
171 회 인용
The Use of Classifiers in Sequential Inference
Vasin Punyakanok, Dan Roth
ArXiv.org
|
2001
|
171 회 인용
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert 외 2명
arXiv (Cornell University)
|
2017
|
171 회 인용
A Network-based End-to-End Trainable Task-oriented Dialogue System
Tsung-Hsien Wen, David Vandyke 외 6명
arXiv (Cornell University)
|
2016
|
170 회 인용
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