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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 Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
arXiv (Cornell University)
|
2018
|
2,484 citations
In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication
Alexei Baevski, Henry Zhou, +2
arXiv (Cornell University)
|
2020
|
2,438 citations
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, +1
arXiv (Cornell University)
|
2018
|
2,423 citations
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, +4
arXiv (Cornell University)
|
2016
|
2,416 citations
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
arXiv (Cornell University)
|
2017
|
2,413 citations
Relational inductive biases, deep learning, and graph networks
Peter Battaglia, Jessica B. Hamrick, +1
arXiv (Cornell University)
|
2018
|
2,391 citations
LoRA: Low-Rank Adaptation of Large Language Models
J. Edward Hu, Yelong Shen, +6
arXiv (Cornell University)
|
2021
|
2,389 citations
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, +1
arXiv (Cornell University)
|
2017
|
2,365 citations
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto, Herke van Hoof, +1
arXiv (Cornell University)
|
2018
|
2,362 citations
ShapeNet: An Information-Rich 3D Model Repository
Anne Lynn S. Chang, Thomas Funkhouser, +11
arXiv (Cornell University)
|
2015
|
2,362 citations
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