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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
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang, Weijiang Yu 외 9명
arXiv (Cornell University)
|
2023
|
207 회 인용
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto, Jimmy Ba 외 1명
arXiv (Cornell University)
|
2015
|
207 회 인용
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil 외 2명
arXiv (Cornell University)
|
2012
|
207 회 인용
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
Abhijit Guha Roy, Shayan Siddiqui 외 3명
arXiv (Cornell University)
|
2019
|
207 회 인용
Flattened Convolutional Neural Networks for Feedforward Acceleration
Jonghoon Jin, Ayşegül Dündar 외 1명
arXiv (Cornell University)
|
2014
|
207 회 인용
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner, José Miguel Hernández-Lobato
arXiv (Cornell University)
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2016
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207 회 인용
Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni, Jialei Wang 외 2명
arXiv (Cornell University)
|
2017
|
207 회 인용
Knowledge graph completion via complex tensor factorization
Théo Trouillon, Christopher R. Dance 외 4명
arXiv (Cornell University)
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2017
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207 회 인용
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk, Abir Das 외 1명
arXiv (Cornell University)
|
2018
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207 회 인용
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon 외 14명
arXiv (Cornell University)
|
2023
|
207 회 인용
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