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VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.

, , , , , , и . NeurIPS, (2023)

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Non-linear Information Freshness in Large Scale Random Access Networks., , , и . GLOBECOM (Workshops), стр. 1675-1680. IEEE, (2022)Federated Learning with Partial Gradients Over-the-Air., , , и . SECON, стр. 107-111. IEEE, (2023)Secure Status Updates under Eavesdropping: Age of Information-based Physical Layer Security Metrics., , , и . CoRR, (2020)Effective Communication: When to Pull Updates?, , , и . CoRR, (2023)Value of Information and Timing-aware Scheduling for Federated Learning., , , , и . CSCN, стр. 94-99. IEEE, (2023)Sentence Bottleneck Autoencoders from Transformer Language Models., , и . EMNLP (1), стр. 1822-1831. Association for Computational Linguistics, (2021)Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis., и . EMNLP, стр. 455-466. ACL, (2014)Network-Level Cooperation in Random Access IoT Networks with Aggregators, , и . 30th International Teletraffic Congress (ITC 30), Vienna, Austria, (2018)Multi-Robot Association-Path Planning in Millimeter-Wave Industrial Scenarios., , и . CoRR, (2020)Online Age-Minimal Sampling Policy for RF-Powered IoT Networks., , и . GLOBECOM, стр. 1-6. IEEE, (2019)