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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
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu, Deirdre Quillen 외 8명
arXiv (Cornell University)
|
2019
|
282 회 인용
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
Thomas Wolf, Victor Sanh 외 2명
arXiv (Cornell University)
|
2019
|
282 회 인용
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans 외 2명
arXiv (Cornell University)
|
2021
|
282 회 인용
Bottom-Up and Top-Down Attention for Image Captioning and VQA.
Peter Anderson, Xiaodong He 외 5명
arXiv (Cornell University)
|
2017
|
281 회 인용
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes
Takuya Akiba, Shuji Suzuki 외 1명
arXiv (Cornell University)
|
2017
|
281 회 인용
Graph Isomorphism in Quasipolynomial Time
László Babai
arXiv (Cornell University)
|
2015
|
281 회 인용
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz, Anders Andreassen 외 12명
arXiv (Cornell University)
|
2022
|
281 회 인용
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash, Chicheng Zhang 외 3명
arXiv (Cornell University)
|
2019
|
280 회 인용
Graph networks as learnable physics engines for inference and control
Álvaro Sánchez‐González, Nicolas Heess 외 5명
arXiv (Cornell University)
|
2018
|
280 회 인용
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel, Mohammad Motamedi 외 1명
arXiv (Cornell University)
|
2016
|
280 회 인용
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