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Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

, , , , , , and . ICML, OpenReview.net, (2024)

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A Kernel Theory of Modern Data Augmentation., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1528-1537. PMLR, (2019)Learning Invariance with Compact Transforms., , , , and . ICLR (Workshop), OpenReview.net, (2018)Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps., , , , , , , and . CoRR, (2020)On the Downstream Performance of Compressed Word Embeddings., , , and . NeurIPS, page 11782-11793. (2019)Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees., , , , , , , and . NeurIPS, (2022)Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers., , , , , , and . NeurIPS, page 572-585. (2021)Knowledge Distillation as Semiparametric Inference., , , and . ICLR, OpenReview.net, (2021)Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time., , , , , , , , , and 1 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 22137-22176. PMLR, (2023)Mamba: Linear-Time Sequence Modeling with Selective State Spaces, and . (2024)StarCoder: may the source be with you!, , , , , , , , , and 57 other author(s). CoRR, (2023)