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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, +2
arXiv (Cornell University)
|
2016
|
91 citations
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Yi Wang, Kunchang Li, +15
arXiv (Cornell University)
|
2022
|
91 citations
Investigating the influence of noise and distractors on the interpretation of neural networks
Pieter-Jan Kindermans, Kristof T. Schütt, +2
arXiv (Cornell University)
|
2016
|
91 citations
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
Abhishek Das, Satwik Kottur, +3
arXiv (Cornell University)
|
2017
|
91 citations
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, +2
arXiv (Cornell University)
|
2012
|
91 citations
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song, Minseok Kim, +3
arXiv (Cornell University)
|
2020
|
91 citations
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, +3
arXiv (Cornell University)
|
2018
|
91 citations
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
Ben Graham, Alaaeldin El-Nouby, +5
arXiv (Cornell University)
|
2021
|
91 citations
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer, Parsa Mahmoudieh, +2
arXiv (Cornell University)
|
2016
|
91 citations
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pašukonis, +2
arXiv (Cornell University)
|
2023
|
91 citations
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