intrinsic dimension

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts NeurIPS 2023 Rethinking Feature-Based Knowledge Distillation for Face Recognition CVPR 2023 Spread Flows for Manifold Modelling AISTATS 2023 The geometry of hidden representations of large transformer models NeurIPS 2023 Topological Singularity Detection at Multiple Scales ICML 2023 Verifying the Union of Manifolds Hypothesis for Image Data ICLR 2023 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Scaling Laws from the Data Manifold Dimension JMLR 2022 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NeurIPS 2021 The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NeurIPS 2021 The Intrinsic Dimension of Images and Its Impact on Learning ICLR 2021 Improved Model for Vocal Folds with a Polyp with Potential Application Interspeech 2020 Dimension-Free Error Bounds from Random Projections AAAI 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes JMLR 2019 Measuring the Intrinsic Dimension of Objective Landscapes ICLR 2018 Dimension Estimation Using Random Connection Models JMLR 2017 Estimation of the covariance structure of heavy-tailed distributions NeurIPS 2017 Dimensionality estimation without distances AISTATS 2015 Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011