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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, +2
arXiv (Cornell University)
|
2023
|
171 citations
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, +2
arXiv (Cornell University)
|
2019
|
171 citations
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.
Peng Peng, Quan Yuan, +5
arXiv (Cornell University)
|
2017
|
171 citations
Online Batch Selection for Faster Training of Neural Networks
Ilya Loshchilov, Frank Hutter
arXiv (Cornell University)
|
2015
|
171 citations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela
arXiv (Cornell University)
|
2017
|
171 citations
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Ahmad B. Hassanat, Mohammad Ali Abbadi, +2
arXiv (Cornell University)
|
2014
|
171 citations
Supervised quantum machine learning models are kernel methods
Maria Schuld
arXiv (Cornell University)
|
2021
|
171 citations
The Use of Classifiers in Sequential Inference
Vasin Punyakanok, Dan Roth
ArXiv.org
|
2001
|
171 citations
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert, +2
arXiv (Cornell University)
|
2017
|
171 citations
A Network-based End-to-End Trainable Task-oriented Dialogue System
Tsung-Hsien Wen, David Vandyke, +6
arXiv (Cornell University)
|
2016
|
170 citations
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