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ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization.

, , , and . CoRR, (2023)

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Exploring Continual Learning for Code Generation Models., , , , , , , , , and 2 other author(s). ACL (2), page 782-792. Association for Computational Linguistics, (2023)ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization., , , and . CoRR, (2023)Exclusive Supermask Subnetwork Training for Continual Learning., and . ACL (Findings), page 569-587. Association for Computational Linguistics, (2023)Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order., , , , , , , , , and 35 other author(s). CoRR, (2024)Confidence-based Graph Convolutional Networks for Semi-Supervised Learning., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1792-1801. PMLR, (2019)Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy., , , , , , and . CoRR, (2023)NHP: Neural Hypergraph Link Prediction., , , , , and . CIKM, page 1705-1714. ACM, (2020)Evaluating the Impact of Region Based Content Popularity of Videos on the Cost of CDN Deployment., and . NCC, page 1-6. IEEE, (2020)HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs., , , , , and . NeurIPS, page 1509-1520. (2019)ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning., , , and . EMNLP (1), page 7716-7740. Association for Computational Linguistics, (2021)