weight distribution

Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments ICML 2025 Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning ICML 2025 Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes ICLR 2024 CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024 Better Generalized Few-Shot Learning Even without Base Data AAAI 2023 A theory of weight distribution-constrained learning NeurIPS 2022 Bayesian Neural Network Priors Revisited ICLR 2022 Hardness of Learning Neural Networks with Natural Weights NeurIPS 2020 Position-based Scaled Gradient for Model Quantization and Pruning NeurIPS 2020 The Early Phase of Neural Network Training ICLR 2020 Invariance of Weight Distributions in Rectified MLPs ICML 2018 Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines IJCAI 2017