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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
An Overview of Deep Semi-Supervised Learning
Yassine Ouali, Céline Hudelot 외 1명
arXiv (Cornell University)
|
2020
|
243 회 인용
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer, Haoqi Fan 외 2명
arXiv (Cornell University)
|
2022
|
243 회 인용
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock, Theodore Lim 외 2명
arXiv (Cornell University)
|
2016
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243 회 인용
PCC: Re-architecting Congestion Control for Consistent High Performance
Dong Mo, Qingxi Li 외 3명
arXiv (Cornell University)
|
2014
|
243 회 인용
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang, Xuchan Bao 외 8명
arXiv (Cornell University)
|
2019
|
242 회 인용
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Guillaume Wenzek, Marie-Anne Lachaux 외 5명
arXiv (Cornell University)
|
2019
|
242 회 인용
Density Modeling of Images using a Generalized Normalization Transformation
Johannes Ballé, Valero Laparra 외 1명
arXiv (Cornell University)
|
2015
|
242 회 인용
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres 외 5명
arXiv (Cornell University)
|
2017
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242 회 인용
Federated Learning of a Mixture of Global and Local Models
Filip Hanzely, Peter Richtárik
arXiv (Cornell University)
|
2020
|
242 회 인용
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve, Kévin Duarte 외 2명
arXiv (Cornell University)
|
2021
|
242 회 인용
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