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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
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model
Jiaxi Cui, Ning, Munan 외 7명
arXiv (Cornell University)
|
2023
|
90 회 인용
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
Jinghui Chen, Dongruo Zhou 외 4명
arXiv (Cornell University)
|
2018
|
90 회 인용
Continual Learning via Neural Pruning
Siavash Golkar, M. Kagan 외 1명
arXiv (Cornell University)
|
2019
|
90 회 인용
Critic Regularized Regression
Ziyu Wang, Alexander Novikov 외 9명
arXiv (Cornell University)
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2020
|
90 회 인용
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krähenbühl, Carl Doersch 외 2명
arXiv (Cornell University)
|
2015
|
90 회 인용
Do We Really Need Explicit Position Encodings for Vision Transformers
Xiangxiang Chu, Bo Zhang 외 3명
arXiv (Cornell University)
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2021
|
90 회 인용
Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers
Wei Wang, Baochun Li 외 1명
arXiv (Cornell University)
|
2013
|
90 회 인용
emoji2vec: Learning Emoji Representations from their Description
Ben Eisner, Tim Rocktäschel 외 3명
arXiv (Cornell University)
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2016
|
90 회 인용
Evaluating model calibration in classification
Juozas Vaicenavičius, David Widmann 외 4명
arXiv (Cornell University)
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2019
|
90 회 인용
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone, Luca Longo
arXiv (Cornell University)
|
2020
|
90 회 인용
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