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SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems, , , , , and . (2019)cite arxiv:1903.03129Comment: Published at MLSys 2020.Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer., , , and . CoRR, (2023)SOLAR: Sparse Orthogonal Learned and Random Embeddings., , and . ICLR, OpenReview.net, (2021)It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF., , , , , and . CoRR, (2024)LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding., , , , , , , , , and 3 other author(s). ACL (1), page 12622-12642. Association for Computational Linguistics, (2024)Efficient Streaming Language Models with Attention Sinks, , , , and . (2024)Learn To be Efficient: Build Structured Sparsity in Large Language Models., , , , and . CoRR, (2024)Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions., , , , , , , , , and 4 other author(s). CoRR, (2023)Sub-linear Privacy-preserving Search with Untrusted Server and Semi-honest Parties., , , , and . CoRR, (2016)Densified Winner Take All (WTA) Hashing for Sparse Datasets., and . UAI, page 906-916. AUAI Press, (2018)