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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
Deep Variational Information Bottleneck
Alexander A. Alemi, Ian Fischer 외 2명
arXiv (Cornell University)
|
2016
|
367 회 인용
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann, Richard Vencu 외 7명
arXiv (Cornell University)
|
2021
|
367 회 인용
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap 외 5명
arXiv (Cornell University)
|
2018
|
367 회 인용
Polynomial codes: an optimal design for high-dimensional coded matrix multiplication
Qian Yu, Mohammad Ali Maddah-Ali 외 1명
arXiv (Cornell University)
|
2017
|
367 회 인용
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li, Naiyan Wang 외 3명
arXiv (Cornell University)
|
2016
|
367 회 인용
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev‐Shwartz, Shaked Shammah 외 1명
arXiv (Cornell University)
|
2016
|
367 회 인용
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He, Ji Lin 외 4명
arXiv (Cornell University)
|
2018
|
366 회 인용
Efficiently Inducing Features of Conditional Random Fields
Andrew McCallum
arXiv (Cornell University)
|
2012
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366 회 인용
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Weiwei Hu, Ying Tan
arXiv (Cornell University)
|
2017
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366 회 인용
Learning to Navigate in Complex Environments
Piotr Mirowski, Razvan Pascanu 외 10명
arXiv (Cornell University)
|
2016
|
366 회 인용
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