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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
DISK: Learning local features with policy gradient
Michał J. Tyszkiewicz, Pascal Fua 외 1명
arXiv (Cornell University)
|
2020
|
184 회 인용
Evaluating Quality of Chatbots and Intelligent Conversational Agents
Nicole Radziwill, Morgan C. Benton
arXiv (Cornell University)
|
2017
|
184 회 인용
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub 외 3명
arXiv (Cornell University)
|
2017
|
184 회 인용
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven, Andreas S. Tolias
Lirias (KU Leuven)
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2018
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184 회 인용
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono, Taiji Suzuki
arXiv (Cornell University)
|
2019
|
184 회 인용
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
Amr Hendy, Mohamed Abdelrehim 외 7명
arXiv (Cornell University)
|
2023
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184 회 인용
Indexing with WordNet synsets can improve Text Retrieval
Julio Gonzalo, Felisa Verdejo 외 2명
arXiv (Cornell University)
|
1998
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184 회 인용
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier 외 2명
arXiv (Cornell University)
|
2019
|
184 회 인용
Order Matters: Sequence to sequence for sets
Oriol Vinyals, Samy Bengio 외 1명
arXiv (Cornell University)
|
2015
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184 회 인용
The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling
Andreas Mayr, Harald Binder 외 2명
PubMed
|
2014
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184 회 인용
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