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model complexity

27 papers

Papers

Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks ICLR 2025 Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions ICML 2025 In-Context Learning and Occam’s Razor ICML 2025 Revisiting Learning Rate Control AutoML 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure AISTATS 2025 EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks AAAI 2024 Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks ICML 2024 Scaling Law for Time Series Forecasting NeurIPS 2024 SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling Interspeech 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 Vanilla Bayesian Optimization Performs Great in High Dimensions ICML 2024 A Neural State-Space Modeling Approach to Efficient Speech Separation Interspeech 2023 A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling NeurIPS 2023 Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023 Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Efficient Neural Architecture Search via Proximal Iterations AAAI 2020 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NeurIPS 2020 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NeurIPS 2015 An Information Geometry of Statistical Manifold Learning ICML 2014 Fast Rigid Motion Segmentation via Incrementally-Complex Local Models CVPR 2013 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012