matrix decomposition

Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023 Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 Bias aware probabilistic Boolean matrix factorization UAI 2022 D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data JMLR 2022 Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022 Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation CVPR 2022 Faster Noisy Power Method ALT 2022 Language model compression with weighted low-rank factorization ICLR 2022 Numerical Optimizations for Weighted Low-rank Estimation on Language Models EMNLP 2022 Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 A Blind Block Term Decomposition of High Order Tensors AAAI 2021 Characterizing the Loss Landscape in Non-Negative Matrix Factorization AAAI 2021 Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NeurIPS 2021 Identification of Matrix Joint Block Diagonalization AISTATS 2021 Is Attention Better Than Matrix Decomposition? ICLR 2021 Principal component analysis in the stochastic differential privacy model UAI 2021 Revisiting Dynamic Convolution via Matrix Decomposition ICLR 2021 Single Pass Entrywise-Transformed Low Rank Approximation ICML 2021 SOFT: Softmax-free Transformer with Linear Complexity NeurIPS 2021 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 Adversarial Nonnegative Matrix Factorization ICML 2020 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020