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Papers matching “task effects” 139

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Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Nikita Durasov, Nik Dorndorf, Pascal Fua

2

citations
Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material)
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Magí Dalmau, Néstor García, Vicenç Gómez, Héctor Geffner

0

citations
The Effects of Randomness on the Stability of Node Embeddings
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, +3 more

2

citations
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization
2022 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Amin Abolghasemi, Suzan Verberne, Leif A. Azzopardi

0

citations
ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Saber Salehkaleybar, Frank van Harmelen, Aske Plaat, Erman Acar

0

citations
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

0

citations
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems
2024 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne

0

citations
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Patrick von Platen, Fei Tao, Gökhan Tür

0

citations
Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
2026 arXiv (Cornell University) preprint Computer Science AI in Service Interactions Open access

Mert Yazan, Suzan Verberne, Frederik Situmeang

0

citations
AIxcellent Vibes at GermEval 2025 Shared Task on Candy Speech Detection: Improving Model Performance by Span-Level Training
2025 arXiv (Cornell University) preprint Computer Science Hate Speech and Cyberbullying Detection Open access

Christian Rene Thelen, Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger, Stephan Bialonski

0

citations
Dynamic Field of View Reduction Related to Subjective Sickness Measures in an HMD-based Data Analysis Task
2024 arXiv (Cornell University) preprint Computer Science Virtual Reality Applications and Impacts Open access

Daniel Zielasko, Alexander Meißner, Sebastian Freitag, Benjamin Weyers, Torsten Kuhlen

13

citations
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Luc P. J. Sträter, Hazel Doughty

0

citations
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality
2024 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Tina Raissi, Simon Berger, Ralf Schlüter, Hermann Ney

0

citations
Towards Bridging the Gap between High-Level Reasoning and Execution on Robots
2023 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann

0

citations
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yu Qiao, Wei Guo Zhou, Elma Kerz, Ralf Schlüter

0

citations
The Unreasonable Effectiveness of the Final Batch Normalization Layer
2021 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Veysel Kocaman, Ofer M. Shir, Thomas Baeck

1

citations
Clustering-based Domain-Incremental Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Baeck, Paris V. Giampouras

0

citations
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring

9

citations
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter, Johannes Stegmaier

1

citations
Reasoning Capabilities of Large Language Models on Dynamic Tasks
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Annie Wong, Thomas Bäck, Aske Plaat, Bas van Stein, Anna V. Kononova

0

citations
Discriminating Lindbladian Dynamics
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Ludovico Lami, Martin Bodo Plenio, Susana F. Huelga

0

citations
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yang Zhou, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, +1 more

2

citations
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

0

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

0

citations