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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
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju 외 2명
arXiv (Cornell University)
|
2016
|
161 회 인용
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu 외 4명
arXiv (Cornell University)
|
2017
|
161 회 인용
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang, Zhuo Zheng 외 3명
arXiv (Cornell University)
|
2021
|
161 회 인용
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Chengyi Wang, Sanyuan Chen 외 11명
arXiv (Cornell University)
|
2023
|
161 회 인용
Probabilistic two-stage detection
Xingyi Zhou, Vladlen Koltun 외 1명
arXiv (Cornell University)
|
2021
|
161 회 인용
Qualitatively characterizing neural network optimization problems
Ian Goodfellow, Oriol Vinyals 외 1명
arXiv (Cornell University)
|
2015
|
161 회 인용
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross 외 7명
arXiv (Cornell University)
|
2021
|
161 회 인용
Sparse Principal Components Analysis
Iain M. Johnstone, Arthur Yu Lu
ArXiv.org
|
2009
|
161 회 인용
Unifying distillation and privileged information
David López-Paz, Léon Bottou 외 2명
arXiv (Cornell University)
|
2015
|
161 회 인용
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai, Joan Puigcerver 외 15명
arXiv (Cornell University)
|
2019
|
160 회 인용
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