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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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Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Zhuyu Yao, Jiangbo Ai, +2
arXiv (Cornell University)
|
2021
|
157 citations
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
Ali Hadi Zadeh, Isak Edo, +2
arXiv (Cornell University)
|
2020
|
157 citations
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, +4
arXiv (Cornell University)
|
2023
|
157 citations
On Adversarial Examples for Character-Level Neural Machine Translation
Javid Ebrahimi, Daniel Lowd, +1
arXiv (Cornell University)
|
2018
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157 citations
On weight initialization in deep neural networks
Siddharth Krishna Kumar
arXiv (Cornell University)
|
2017
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157 citations
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests
Lucas Mentch, Giles Hooker
arXiv (Cornell University)
|
2014
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157 citations
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Tao Hu, Honggang Qi, +2
arXiv (Cornell University)
|
2019
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157 citations
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, +9
arXiv (Cornell University)
|
2016
|
157 citations
Supervised Discrete Hashing
Fumin Shen, Chunhua Shen, +2
arXiv (Cornell University)
|
2015
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157 citations
The Deepfake Detection Challenge (DFDC) Preview Dataset
Brian Dolhansky, Russ Howes, +3
arXiv (Cornell University)
|
2019
|
157 citations
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