Image de couverture de livre

Detecting out-of-distribution text using topological features of transformer-based language models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pollano, Andres, Chaudhuri, Anupam, Simmons, Anj
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Machine Learning Algebraic Topology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
par: Huber, Marius, et autres
Publié: (2026)

Prospects for inconsistency detection using large language models and sheaves
par: Huntsman, Steve, et autres
Publié: (2024)

Discrete transforms of quantized persistence diagrams
par: Van Huffel, Michael Etienne, et autres
Publié: (2023)

Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold
par: Chaudhuri, Anupam, et autres
Publié: (2024)

On topological descriptors for graph products
par: Ji, Mattie, et autres
Publié: (2025)

Persistence-based topological optimization: a survey
par: Carriere, Mathieu, et autres
Publié: (2026)

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
par: Loiseaux, David, et autres
Publié: (2023)

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
par: Tulchinskii, Eduard, et autres
Publié: (2023)

Frequent subgraph-based persistent homology for graph classification
par: Chen, Xinyang, et autres
Publié: (2025)

Graphcode: Learning from multiparameter persistent homology using graph neural networks
par: Kerber, Michael, et autres
Publié: (2024)

A rank decomposition for the topological classification of neural representations
par: Beshkov, Kosio, et autres
Publié: (2024)

Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
par: Grande, Vincent P., et autres
Publié: (2023)

A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
par: May, Nathan H., et autres
Publié: (2023)

Euler Characteristic Tools For Topological Data Analysis
par: Hacquard, Olympio, et autres
Publié: (2023)

PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
par: You, Junwon, et autres
Publié: (2024)

Persistent Homology as Stopping-Criterion for Voronoi Interpolation
par: Melodia, Luciano, et autres
Publié: (2019)

Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
par: Wagner, Hubert, et autres
Publié: (2024)

Cover Learning for Large-Scale Topology Representation
par: Scoccola, Luis, et autres
Publié: (2025)

Geometry-Aware Simplicial Message Passing
par: Wang, Elena Xinyi, et autres
Publié: (2026)

Topological Methods in Machine Learning: A Tutorial for Practitioners
par: Coskunuzer, Baris, et autres
Publié: (2024)

Differentiable Mapper For Topological Optimization Of Data Representation
par: Oulhaj, Ziyad, et autres
Publié: (2024)

Point-Level Topological Representation Learning on Point Clouds
par: Grande, Vincent P., et autres
Publié: (2024)

Subsampling, aligning, and averaging to find circular coordinates in recurrent time series
par: Blumberg, Andrew J., et autres
Publié: (2024)

Filtration-Based Representation Learning for Temporal Graphs
par: Chowdhury, Samrik, et autres
Publié: (2025)

Steinhaus Filtration and Stable Paths in the Mapper
par: Arendt, Dustin L., et autres
Publié: (2019)

Noncommutative Model Selection and the Data-Driven Estimation of Real Cohomology Groups
par: Guzmán-Tristán, Araceli, et autres
Publié: (2024)

ClusterGraph: a new tool for visualization and compression of multidimensional data
par: Dłotko, Paweł, et autres
Publié: (2024)

A distribution-guided Mapper algorithm
par: Tao, Yuyang, et autres
Publié: (2024)

TUN: Detecting Significant Points in Persistence Diagrams with Deep Learning
par: Chen, Yu, et autres
Publié: (2025)

The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis
par: Draganov, Ondřej, et autres
Publié: (2024)

Stability for Inference with Persistent Homology Rank Functions
par: Wang, Qiquan, et autres
Publié: (2023)

Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal
par: Grande, Vincent P., et autres
Publié: (2023)

Simplicial Representation Learning with Neural $k$-Forms
par: Maggs, Kelly, et autres
Publié: (2023)

Persistent Homology for High-dimensional Data Based on Spectral Methods
par: Damrich, Sebastian, et autres
Publié: (2023)

Simplicial covering dimension of extremal concept classes
par: Blondal, Ari, et autres
Publié: (2025)

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
par: von Rohrscheidt, Julius, et autres
Publié: (2024)

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
par: Dey, Tamal K., et autres
Publié: (2025)

Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction
par: Keck, Janis, et autres
Publié: (2025)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
par: García-Redondo, Inés, et autres
Publié: (2022)

Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
par: Li, Hao, et autres
Publié: (2024)