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