SpQR - Sparse Quantization Representation - Live Stream #4

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SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

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[2023 Best AI Paper] SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compressio

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692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU — with Jon Krohn

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SuperLU and STRUMPACK Sparse Direct Solver and Preconditioner | X. Sherry Li, LBNL

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revolutionary model compression

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Sparse Feature Factorization for Recommender Systems with Knowledge Graphs

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ASPLOS'23 - Session 4C - The Sparse Abstract Machine

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[SPCL_Bcast] High-Performance Sparse Tensor Operations in HiParTI Library

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Sparse Expert Models: Past and Future

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Sparsity and Compression: An Overview

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Direct Sparse Linear Solvers ǀ X. Sherry Li, Lawrence Berkeley National Laboratory

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On the Power of Preconditioning in Sparse Linear Regression

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Sparse and Skew Hashing of K-Mers - Giulio Ermanno Pibiri - HiTSeq - Proceedings - ISMB 2022

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Scene Labeling Using Sparse Precision Matrix - CVPR2016

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[CTSTA'23] The Sparse Abstract Machine

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What Sparsity and l1 Optimization Can Do For You

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Sparse Direct Solvers I X. Sherry Lee, LBNL

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Jan Povala - Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices

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