Imagen de Portada

Continual Neural Topic Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	James, Charu Karakkaparambil, Mustafa, Waleed, Kloft, Marius, Fellenz, Sophie
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comgra: A Tool for Analyzing and Debugging Neural Networks
por: Dietz, Florian, et al.
Publicado: (2024)

Challenging Assumptions in Learning Generic Text Style Embeddings
por: Ostheimer, Phil, et al.
Publicado: (2025)

PIANO: Physics Informed Autoregressive Network
por: Nagda, Mayank, et al.
Publicado: (2025)

Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
por: Nagda, Mayank, et al.
Publicado: (2024)

SetPINNs: Set-based Physics-informed Neural Networks
por: Nagda, Mayank, et al.
Publicado: (2024)

Multi-level Supervised Contrastive Learning
por: Ghanooni, Naghmeh, et al.
Publicado: (2025)

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise
por: Wang, Puyu, et al.
Publicado: (2026)

Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
por: Franks, Billy Joe, et al.
Publicado: (2024)

Sparse Data Diffusion for Scientific Simulations in Biology and Physics
por: Ostheimer, Phil, et al.
Publicado: (2025)

Interpretable Tensor Fusion
por: Varshneya, Saurabh, et al.
Publicado: (2024)

Skipping the Zeros in Diffusion Models for Sparse Data Generation
por: Ostheimer, Phil Sidney, et al.
Publicado: (2026)

Reimagining Anomalies: What If Anomalies Were Normal?
por: Liznerski, Philipp, et al.
Publicado: (2024)

Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
por: Mukherjee, Tanmoy, et al.
Publicado: (2026)

Labeling Neural Representations with Inverse Recognition
por: Bykov, Kirill, et al.
Publicado: (2023)

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
por: Specht, Thomas, et al.
Publicado: (2024)

DiffStyleTS: Diffusion Model for Style Transfer in Time Series
por: Nagda, Mayank, et al.
Publicado: (2025)

Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks
por: Wang, Puyu, et al.
Publicado: (2026)

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
por: Tauberschmidt, Jan, et al.
Publicado: (2025)

Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
por: Gurumurthy, Kishan, et al.
Publicado: (2025)

Explaining Bayesian Neural Networks
por: Bykov, Kirill, et al.
Publicado: (2021)

Closed-Form Node Classification with Exact Graph Unlearning
por: Gaur, Aditya, et al.
Publicado: (2026)

A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
por: Shinde, Aakash Ravindra, et al.
Publicado: (2023)

FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning
por: Razzaq, Waleed, et al.
Publicado: (2026)

Anomaly Detection of Tabular Data Using LLMs
por: Li, Aodong, et al.
Publicado: (2024)

Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks
por: Loureiro, Manuel V., et al.
Publicado: (2023)

Mono-Forward: Revisiting Forward-Forward through Objective-Locality Decomposition
por: Gong, James, et al.
Publicado: (2025)

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
por: Zhuang, Yuanxin, et al.
Publicado: (2025)

Soft Contextualized Encoder For User Defined Text Classification
por: Maheshwari, Charu, et al.
Publicado: (2026)

Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
por: Granese, Federica, et al.
Publicado: (2025)

ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
por: Licht, Martin, et al.
Publicado: (2025)

LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs
por: Pal, Himanshu, et al.
Publicado: (2025)

Towards Generalising Neural Topical Representations
por: Yang, Xiaohao, et al.
Publicado: (2023)

Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
por: Razzaq, Waleed, et al.
Publicado: (2025)

Machine Learning Construction: implications to cybersecurity
por: Yousef, Waleed A.
Publicado: (2019)

GENIE: Watermarking Graph Neural Networks for Link Prediction
por: Bachina, Venkata Sai Pranav, et al.
Publicado: (2024)

Evaluating Negative Sampling Approaches for Neural Topic Models
por: Adhya, Suman, et al.
Publicado: (2025)

Improving Neural Topic Models with Wasserstein Knowledge Distillation
por: Adhya, Suman, et al.
Publicado: (2023)

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
por: Ebrahimi, Seyedeh Fatemeh, et al.
Publicado: (2025)

Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
por: Li, Panfeng, et al.
Publicado: (2018)

Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach
por: Sathish, Sanjay, et al.
Publicado: (2024)