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VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
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Transformers are central in modern natural language processing and computer vision applications.
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Not All Tokens Are What You Need for Pretraining
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See author contributions for details.
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BetaR-CNN: LookingintoPedestrianDetectionfrom AnotherPerspective
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During the last decade, with the rise of deep convolutional neural networks (CNNs), great progress has been achieved in pedestrian detection.
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Best-case lower bounds in online learning
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Much of the work in online learning focuses on the study of sublinear upper bounds on the regret.
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