Image de couverture de livre

A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yousef, Younes, Galke, Lukas, Scherp, Ansgar
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

POWN: Prototypical Open-World Node Classification
par: Hoffmann, Marcel, et autres
Publié: (2024)

Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
par: Hoffmann, Marcel, et autres
Publié: (2025)

Text Role Classification in Scientific Charts Using Multimodal Transformers
par: Kim, Hye Jin, et autres
Publié: (2024)

Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
par: Burr, Felix, et autres
Publié: (2025)

Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing
par: Kohn, Matthias, et autres
Publié: (2024)

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
par: Lell, Nicolas, et autres
Publié: (2025)

HyperAggregation: Aggregating over Graph Edges with Hypernetworks
par: Lell, Nicolas, et autres
Publié: (2024)

Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search
par: Diera, Andor, et autres
Publié: (2024)

GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models
par: Mücke, Justin, et autres
Publié: (2025)

Efficient Continual Learning for Small Language Models with a Discrete Key-Value Bottleneck
par: Diera, Andor, et autres
Publié: (2024)

LossVal: Efficient Data Valuation for Neural Networks
par: Wibiral, Tim, et autres
Publié: (2024)

Lifelong Graph Learning for Graph Summarization
par: Frank, Jonatan, et autres
Publié: (2024)

Are We Really Making Much Progress in Text Classification? A Comparative Review
par: Galke, Lukas, et autres
Publié: (2022)

Your Extreme Multi-label Classifier is Secretly a Hierarchical Text Classifier for Free
par: Bertalis, Nerijus, et autres
Publié: (2024)

When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization
par: Nielsen, Jacob, et autres
Publié: (2024)

Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
par: Nielsen, Jacob, et autres
Publié: (2025)

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
par: Neitemeier, Pit, et autres
Publié: (2025)

From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding
par: Chowdhury, Meghna Roy, et autres
Publié: (2026)

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
par: Wang, Shiyu, et autres
Publié: (2022)

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting
par: Essafouri, Younes, et autres
Publié: (2026)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
par: Zhang, Qianru, et autres
Publié: (2025)

Revisiting Hierarchical Text Classification: Inference and Metrics
par: Plaud, Roman, et autres
Publié: (2024)

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
par: Han, Xu, et autres
Publié: (2025)

Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
par: Sharma, Anupam, et autres
Publié: (2026)

HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
par: Zhang, Haodong, et autres
Publié: (2026)

Rethinking Graph Transformer Architecture Design for Node Classification
par: Zhou, Jiajun, et autres
Publié: (2024)

Transformer Neural Autoregressive Flows
par: Patacchiola, Massimiliano, et autres
Publié: (2024)

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
par: Gu, Jiatao, et autres
Publié: (2024)

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models
par: Pirchert, Annemette Brok, et autres
Publié: (2026)

An Efficient Private GPT Never Autoregressively Decodes
par: Li, Zhengyi, et autres
Publié: (2025)

Autoregressive Visual Decoding from EEG Signals
par: Dai, Sicheng, et autres
Publié: (2026)

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes
par: From, Mogens Henrik, et autres
Publié: (2025)

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
par: Liu, Zhijun, et autres
Publié: (2024)

CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents
par: Karl, Fabian, et autres
Publié: (2025)

Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning
par: Guo, Jiawei, et autres
Publié: (2025)

Arch-VQ: Discrete Architecture Representation Learning with Autoregressive Priors
par: Poddenige, Deshani Geethika, et autres
Publié: (2025)

Efficient Autoregressive Inference for Transformer Probabilistic Models
par: Hassan, Conor, et autres
Publié: (2025)

Do Language Models Encode Semantic Relations? Probing and Sparse Feature Analysis
par: Diera, Andor, et autres
Publié: (2026)

Transformer-based EEG Decoding: A Survey
par: Zhang, Haodong, et autres
Publié: (2025)

Quantization-Free Autoregressive Action Transformer
par: Sheebaelhamd, Ziyad, et autres
Publié: (2025)