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Papers matching “attention training” 40

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Efficient Sequence Training of Attention Models using Approximative Recombination
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Jingjing Xu, Ralf Schlüter, Hermann Ney

0

citations
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Itay Lavie, Kirsten Fischer, Andrey Lekov, Frederic Van Maele, Zohar Ringel, Moritz Helias

0

citations
Differentiable Soft-Masked Attention
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe

0

citations
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof

5

citations
A study of latent monotonic attention variants
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Albert Zeyer, Ralf Schlüter, Hermann Ney

7

citations
Does Joint Training Really Help Cascaded Speech Translation?
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Viet Anh Tran, David Thulke, Yingbo Gao, Christian Herold, Hermann Ney

0

citations
Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhipei Qin, Mohammad Shokri, N. van Weeren, Frank W. Takes

0

citations
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Ping Jia, Alexander Hermans, Bastian Leibe

0

citations
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more

12

citations
The Conformer Encoder May Reverse the Time Dimension
2024 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Robin Schmitt, Albert Zeyer, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney

0

citations
Predicting Clinical Endpoints and Visual Changes with Quality-Weighted Tissue-based Renal Histological Features
2022 medRxiv preprint Computer Science AI in cancer detection Open access

Ka Ho Tam, Maria Fernanda Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria E. Kaisar, +1 more

0

citations
Gradient-Based Speech-to-Text Alignment for Any ASR Model: From CTC to Speech LLMs
2026 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Albert Zeyer, Ralf Schlüter, Hermann Ney

0

citations
Deep Learning-Based Screening for POLE mutations on Histopathology Slides in Endometrial Cancer
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Nikki van den Berg, Lydia A. Schoenpflug, Nanda Horeweg, Sarah Volinsky-Fremond, Jurriaan Barkey Wolf, Sonali Andani, +25 more

0

citations
Prediction of heart transplant rejection from routine pathology slides with self-supervised Deep Learning
2022 medRxiv preprint Computer Science AI in cancer detection Open access

Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Buelow, +11 more

4

citations
Transformer-based multiclass segmentation pipeline for basic kidney histology
2025 medRxiv preprint Computer Science AI in cancer detection Open access

Junling He, P. Valkema, Jingmin Long, Li-Jia Li, Sandrine Florquin, Maarten Naesens, +8 more

0

citations
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, +1 more

6

citations
A protocol for evaluating robustness to H&E staining variation in computational pathology models
2026 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Lydia A. Schoenpflug, Nikki van den Berg, Sonali Andani, Nanda Horeweg, Jurriaan Barkey Wolf, Tjalling Bosse, +2 more

1

citations
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof

0

citations
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data
2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Multicenter self-supervised computational pathology identifies prognostic histomorphological phenotypes in colorectal cancer
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Floor Heilijgers, Hortense Le, Nicolas Coudray, Afreen Karimkhan, Derek Chen, Koen C.M.J. Peeters, +3 more

0

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
2024 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access

Myrthe Reuver, Suzan Verberne, Antske Fokkens

1

citations
Deployment Challenges of Industrial Intrusion Detection Systems
2024 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Konrad Wolsing, Eric Wagner, Frederik Basels, Klaus Wehrle

0

citations