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Papers matching “deep learning training” 102

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Speed Limits for Deep Learning
2023 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Inbar Seroussi, Alexander A. Alemi, Moritz Helias, Zohar Ringel

0

citations
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more

20

citations
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Marko van Treeck, Didem Çifçi, Narmin Ghaffari Laleh, Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Katherine Jane Hewitt, +9 more

13

citations
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Konstantin Ramthun, Yannik Wegener, Matthias Pallasch, Jannik Drogemuller, Leon Büttinghaus, +7 more

0

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on L3 abdominal CT images
2023 medRxiv preprint Computer Science Medical Image Segmentation Techniques Open access

David P.J. van Dijk, Leroy Volmer, Ralph Brecheisen, Ross Dean Dolan, Adam S. Bryce, David Kuang-Fu Chang, +7 more

5

citations
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

12

citations
Deep Multiagent Reinforcement Learning: Challenges and Directions
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

10

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
2025 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Sengim Karayalçın, Marina Krček, Stjepan Picek

0

citations
Transfer Learning and Curriculum Learning in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
TopoBench: A Framework for Benchmarking Topological Deep Learning
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Lev Telyatnikov, Guillermo Bernárdez, Mustafa Hajij, Pavlo Vasylenko, Ghada Zamzmi, Michael T. Schaub, +4 more

0

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
2024 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin

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
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
Temporal Heterogeneous Graph Pretraining for Relational Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Yixin Peng, 金儿, Diego Collarana, Stefan Decker

0

citations
Towards General Deep Leakage in Federated Learning
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jiahui Geng, Yongli Mou, Li Fei-Fei, Qing Li, Oya Beyan, Stefan Decker, +1 more

23

citations
Subcortical Segmentation of the Fetal Brain in 3D Ultrasound using Deep Learning
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Medical Image Segmentation Techniques Open access

Linde S. Hesse, Moska Aliasi, Felipe A. Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, +1 more

4

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

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
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Artificial Intelligence in Games Open access

Hui Wang, Mike Preuß, Aske Plaat

3

citations
Deep Learning Approach for Bubble Detection and Segmentation with YOLOv5
2024 Preprints.org preprint Computer Science Advanced Neural Network Applications Open access

Amit Sharma, Moritz Eickhoff, Thomas Echterhof, Christian Wuppermann

6

citations