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Papers matching “task activation” 30

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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
Large-scale modelling of sparse kinase activitydata
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more

0

citations
Mechanistic Interpretability for Transformer-based Time Series Classification
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Matīss Kalnāre, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

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
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Jitai Hao, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren

1

citations
Interpretable compositional computation with recurrent neural networks
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Neural Networks and Applications Open access

Louis Pezon, Alexander van Meegen

1

citations
Subspace Adaptation Prior for Few-Shot Learning
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
Is there progress in activity progress prediction?
2023 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea

1

citations
Annotator-Centric Active Learning for Subjective NLP Tasks
2024 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Michiel van der Meer, Neele Falk, Pradeep Kumar Murukannaiah, Enrico Liscio

1

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
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
3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more

1

citations
Early warning signals for predicting cryptomarket vendor success using dark net forum networks
2023 arXiv (Cornell University) preprint Computer Science Cybercrime and Law Enforcement Studies Open access

Hanjo D. Boekhout, ARJAN A. J. BLOKLAND, Frank W. Takes

0

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

citations
Beyond Self-Report: Making AI Use Observable at Scale: Behavioral Traces, Adaptive Interviews, and Distributed Hermeneutic Inquiry
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Artificial Intelligence in Education Open access

Daniel Autenrieth, Lea Schulz, Nina Autenrieth

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
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions
2023 arXiv (Cornell University) preprint Computer Science Petri Nets in System Modeling Open access

Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali

0

citations
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ricky Maulana Fajri, Akrati Saxena, Mykola Pechenizkiy

0

citations
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more

0

citations
Mean-Field and Kinetic Descriptions of Neural Differential Equations
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, T. Trimborn, G. Visconti

0

citations
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, +1 more

19

citations
Graph neural networks for the prediction of molecular structure-property relationships
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

2

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

0

citations