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