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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
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song 외 2명
arXiv (Cornell University)
|
2016
|
91 회 인용
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Yi Wang, Kunchang Li 외 15명
arXiv (Cornell University)
|
2022
|
91 회 인용
Investigating the influence of noise and distractors on the interpretation of neural networks
Pieter-Jan Kindermans, Kristof T. Schütt 외 2명
arXiv (Cornell University)
|
2016
|
91 회 인용
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
Abhishek Das, Satwik Kottur 외 3명
arXiv (Cornell University)
|
2017
|
91 회 인용
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu 외 2명
arXiv (Cornell University)
|
2012
|
91 회 인용
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song, Minseok Kim 외 3명
arXiv (Cornell University)
|
2020
|
91 회 인용
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar 외 3명
arXiv (Cornell University)
|
2018
|
91 회 인용
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
Ben Graham, Alaaeldin El-Nouby 외 5명
arXiv (Cornell University)
|
2021
|
91 회 인용
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer, Parsa Mahmoudieh 외 2명
arXiv (Cornell University)
|
2016
|
91 회 인용
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pašukonis 외 2명
arXiv (Cornell University)
|
2023
|
91 회 인용
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