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convolutional neural network (2) normalized margin (1) gaussian process model (1) linear activation (1) distributional value estimation (1) neural network (1) long-tail learning (1) long-tail object detection (1) representation cost (1) feature norm (1)

Papers

Hyperspherical Normalization for Scalable Deep Reinforcement Learning ICML 2025 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm COLT 2022 Investigating Generalization by Controlling Normalized Margin ICML 2022 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case ICLR 2020