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intrinsic dimension

38 papers

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representation learning (6206) manifold learning (403) language model (4599) dimensionality reduction (720) k-nearest neighbor (152) random projection (145) large language model (13587) density estimation (398) generalization bound (652) high-dimensional datum (158)

Papers

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story EACL 2026
Memorization in Language Models through the Lens of Intrinsic Dimension ACL 2025
Geometric Signatures of Compositionality Across a Language Model’s Lifetime ACL 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
Inspecting the Representation Manifold of Differentially-Private Text NAACL 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension NAACL 2025
GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning EMNLP 2025
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NIPS 2024
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024
Stealth edits to large language models NIPS 2024
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape NIPS 2024
The geometry of hidden representations of large transformer models NIPS 2023
Spread Flows for Manifold Modelling AISTATS 2023
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts NIPS 2023
Rethinking Feature-Based Knowledge Distillation for Face Recognition CVPR 2023
Bridging Information-Theoretic and Geometric Compression in Language Models EMNLP 2023
Topological Singularity Detection at Multiple Scales ICML 2023
Data Representations’ Study of Latent Image Manifolds ICML 2023
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022
Non-parametric Inference Adaptive to Intrinsic Dimension CLEAR 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
Scaling Laws from the Data Manifold Dimension JMLR 2022
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NIPS 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NIPS 2021