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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
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang, Haopeng Zhang 외 2명
arXiv (Cornell University)
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2020
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154 회 인용
Large-Sample Learning of Bayesian Networks is NP-Hard
David Maxwell Chickering, Christopher Meek 외 1명
arXiv (Cornell University)
|
2012
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154 회 인용
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller, Roland Hafner 외 7명
arXiv (Cornell University)
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2018
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154 회 인용
Learning human behaviors from motion capture by adversarial imitation
Josh Merel, Yuval Tassa 외 6명
arXiv (Cornell University)
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2017
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154 회 인용
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Samuel Humeau, Kurt Shuster 외 2명
arXiv (Cornell University)
|
2019
|
154 회 인용
Predictive Inequity in Object Detection
Benjamin Wilson, Judy Hoffman 외 1명
arXiv (Cornell University)
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2019
|
154 회 인용
Real-time Convolutional Neural Networks for Emotion and Gender Classification
Octavio Arriaga, Matías Valdenegro-Toro 외 1명
arXiv (Cornell University)
|
2017
|
154 회 인용
Self-Supervised Learning for Stereo Matching with Self-Improving Ability
Yiran Zhong, Yuchao Dai 외 1명
arXiv (Cornell University)
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2017
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154 회 인용
Seq-NMS for Video Object Detection
Wei Han, Pooya Khorrami 외 7명
arXiv (Cornell University)
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2016
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154 회 인용
Towards a Neural Statistician
Harrison Edwards, Amos Storkey
arXiv (Cornell University)
|
2016
|
154 회 인용
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