low-rank factorization

HiFICL: High-Fidelity In-Context Learning for Multimodal Tasks CVPR 2026 Faster Algorithms for Structured Linear and Kernel Support Vector Machines ICLR 2025 GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering AAAI 2025 Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach IJCAI 2025 Reduced-rank Factorized Fourier Neural Operator ACML 2025 Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024 Low-Rank Similarity Mining for Multimodal Dataset Distillation ICML 2024 Single-Model and Any-Modality for Video Object Tracking CVPR 2024 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023 LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing ACL 2023 Matrix Compression via Randomized Low Rank and Low Precision Factorization NeurIPS 2023 Exploiting Explainable Metrics for Augmented SGD CVPR 2022 Language model compression with weighted low-rank factorization ICLR 2022 Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations ACL 2022 Low-Rank Sinkhorn Factorization ICML 2021 Low-Rank Subspaces in GANs NeurIPS 2021 ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021 Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices NeurIPS 2021 Compact Speaker Embedding: lrx-Vector Interspeech 2020 Iterative Compression of End-to-End ASR Model Using AutoML Interspeech 2020 Structured Pruning of Large Language Models EMNLP 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019 Rate Distortion For Model Compression:From Theory To Practice ICML 2019