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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
Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning
Linhai Xie, Sen Wang 외 2명
arXiv (Cornell University)
|
2017
|
136 회 인용
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, Wei Huang 외 5명
arXiv (Cornell University)
|
2019
|
136 회 인용
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Nic Ford, Justin Gilmer 외 2명
arXiv (Cornell University)
|
2019
|
135 회 인용
Audio Spectrogram Representations for Processing with Convolutional Neural Networks
Lonce Wyse
arXiv (Cornell University)
|
2017
|
135 회 인용
Bayesian Dark Knowledge
Anoop Korattikara, Vivek Rathod 외 2명
arXiv (Cornell University)
|
2015
|
135 회 인용
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
Sanjay Purushotham, Yan Liu 외 1명
arXiv (Cornell University)
|
2012
|
135 회 인용
Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana 외 5명
arXiv (Cornell University)
|
2018
|
135 회 인용
Controller Synthesis for Safety and Reachability via Approximate Bisimulation
Antoine Girard
arXiv (Cornell University)
|
2010
|
135 회 인용
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu, Jingyan Jiang 외 1명
arXiv (Cornell University)
|
2019
|
135 회 인용
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Thang D. Bui, Daniel Hernández-Lobato 외 3명
arXiv (Cornell University)
|
2016
|
135 회 인용
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