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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
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao, Hongsheng Li 외 2명
arXiv (Cornell University)
|
2016
|
100 회 인용
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou 외 3명
arXiv (Cornell University)
|
2019
|
100 회 인용
Learning Invariant Representations with Local Transformations
Kihyuk Sohn, Honglak Lee
arXiv (Cornell University)
|
2012
|
100 회 인용
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite 외 2명
arXiv (Cornell University)
|
2019
|
100 회 인용
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee, Kyunghyun Cho 외 1명
arXiv (Cornell University)
|
2019
|
100 회 인용
Optimal lower bounds for quantum automata and random access codes
Ashwin Nayak
ArXiv.org
|
1999
|
100 회 인용
Pixels to Graphs by Associative Embedding
Alejandro Newell, Jia Deng
arXiv (Cornell University)
|
2017
|
100 회 인용
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu, Xu Han 외 2명
arXiv (Cornell University)
|
2021
|
100 회 인용
Provably Minimally-Distorted Adversarial Examples
Nicholas Carlini, Guy Katz 외 2명
arXiv (Cornell University)
|
2017
|
100 회 인용
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Shixiang Gu, Timothy Lillicrap 외 3명
arXiv (Cornell University)
|
2016
|
100 회 인용
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