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Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord 외 1명
arXiv (Cornell University)
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2015
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435 회 인용
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow, Yaroslav Bulatov 외 3명
arXiv (Cornell University)
|
2013
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435 회 인용
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md Zahangir Alom, Tarek M. Taha 외 7명
arXiv (Cornell University)
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2018
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435 회 인용
The Space of Transferable Adversarial Examples
Florian Tramèr, Nicolas Papernot 외 3명
arXiv (Cornell University)
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2017
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435 회 인용
YOLO9000: Better, Faster, Stronger
Joseph Redmon, Ali Farhadi
arXiv (Cornell University)
|
2016
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435 회 인용
Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi 외 5명
arXiv (Cornell University)
|
2017
|
434 회 인용
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang 외 2명
arXiv (Cornell University)
|
2017
|
434 회 인용
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce, Matthias Hein
arXiv (Cornell University)
|
2020
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434 회 인용
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Jia Ye, Yu Zhang 외 9명
arXiv (Cornell University)
|
2018
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433 회 인용
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang 외 11명
arXiv (Cornell University)
|
2023
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432 회 인용
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