linear combination

Linear combinations of latents in generative models: subspaces and beyond ICLR 2025 Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models ICML 2025 Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging ICML 2025 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters WACV 2024 Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains ICML 2024 NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS 2021 Learning a Self-Expressive Network for Subspace Clustering CVPR 2021 Linearly Replaceable Filters for Deep Network Channel Pruning AAAI 2021 Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021 Towards Better Explanations of Class Activation Mapping ICCV 2021 Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020 Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020 Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing AAAI 2019 Generating Gestural Scores from Acoustics Through a Sparse Anchor-Based Representation of Speech Interspeech 2016 A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015