Co-occurring keywords · papers mentioning both
Papers
Linguistic Profiling of Transformer Embedding Geometry
CoNLL 2026
Effective post-training embedding compression via temperature control in contrastive training
ICLR 2025
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
ICLR 2025
Explaining the role of Intrinsic Dimensionality in Adversarial Training
ICML 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
ICLR 2025
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
ICLR 2025
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
ICML 2025
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
ICML 2025
Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings
ACL 2025
Exploring Geometric Representational Disparities between Multilingual and Bilingual Translation Models
COLING 2024
Intrinsic dimensionality and generalization properties of the R-norm inductive bias
COLT 2023
Intrinsic dimensionality estimation using Normalizing Flows
NeurIPS 2022
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
NeurIPS 2022
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning
AAAI 2022
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality
JMLR 2020
Intrinsic dimension of data representations in deep neural networks
NeurIPS 2019
On the Intrinsic Dimensionality of Image Representations
CVPR 2019
Affine-Invariant Online Optimization and the Low-rank Experts Problem
NeurIPS 2017
Random Projection Trees Revisited
NeurIPS 2010
Learning the structure of manifolds using random projections
NeurIPS 2007