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42

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
Hoang, Thai ; Huang, Kung-Hsiang ; Kokane, Shirley ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Machi...
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43

Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models
Conn, Jonathan G. M. ; Carter, James W. ; Conn, Justin J. A. ; et al.
Journal of Chemical Information and Modeling. 63(4):1099-1113

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44

The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models
Cook, Dave ; Klawa, Tim

Computer Science - Machi... Computer Science - Artif...
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45

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Li, Conglong ; Yao, Zhewei ; Wu, Xiaoxia ; et al.
Proceedings of the AAAI Conference on Artificial Intelligence. 38:18490-18498

FOS: Computer and inform... Computer Science - Machi... Artificial Intelligence... Computer Science - Artif... 0202 electrical engineer... 02 engineering and techn... …
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46

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
Ge, Albert ; Huang, Tzu-Heng ; Cooper, John ; et al.

Computer Science - Machi... Computer Science - Artif... Computer Science - Compu...
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47

To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models: An Analysis for Optical Character Recognition of Handwriting
Leopold Fischer-Brandies ; Lucas Müller ; Benjamin Rebholz ; et al.
IEEE Access, Vol 13, Pp 59039-59056 (2025)

OCR training data deep learning Electrical engineering.... transfer learning Robustness …
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48

GNNMerge: Merging of GNN Models Without Accessing Training Data
Garg, Vipul ; Thakre, Ishita ; Ranu, Sayan

Computer Science - Machi...
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49

Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection
Girella, Federico ; Liu, Ziyue ; Fummi, Franco ; et al.
2024 International Conference on Content-Based Multimedia Indexing (CBMI). :1-7

FOS: Computer and inform... Computer Science - Machi... Diffusion Models, Data A... Computer Vision and Patt... Computer Science - Compu... Diffusion Models …
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50

When Machine Learning Models Leak: An Exploration of Synthetic Training Data
Slokom, Manel ; de Wolf, Peter-Paul ; Larson, Martha

Computer Science - Machi...
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52

Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
Belenki, Lior ; Agarwal, Alekh ; Shi, Tianze ; et al.

Computer Science - Machi... Computer Science - Compu...
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53

Deep learning model for remaining useful life prediction with reduced labeling data dependency
Chen, Jianguo ; Wang, Yu ; Guo, Dongxu ; et al.
In Applied Energy 15 December 2025 402 Part A

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54

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
Shi, Weijie ; Zhang, Jipeng ; Wu, Yaguang ; et al.

Computation and Language Artificial Intelligence Machine Learning
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55

Sustainable Techniques to Improve Data Quality for Training Image-Based Explanatory Models for Recommender Systems
Paz-Ruza, Jorge ; Esteban-Martínez, David ; Alonso-Betanzos, Amparo ; et al.
Lecture Notes in Computer Science ISBN: 9783032045485

FOS: Computer and inform... Computer Science - Machi... Artificial Intelligence... Computer Science - Artif... Computer Vision and Patt... Computer Science - Compu... …
Buch
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56

Training state-of-the-art pathology foundation models with orders of magnitude less data
Karasikov, Mikhail ; van Doorn, Joost ; Känzig, Nicolas ; et al.

Computer Science - Compu... Computer Science - Machi...
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57

Preserving data and model privacy during inference and training
Briguglio, William ; Traoré, Issa ; Mamun, Mohammad ; et al.
In Expert Systems With Applications 10 March 2026 301

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58

Usefulness of Data Simulation for Training Deep Learning Denoising Algorithms in Infrared Spectral Histology
Kane, Seydou ; Vuiblet, Vincent ; Gobinet, Cyril
Analytical Chemistry. 97(49):27064-27075

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59

Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models
Hasegawa, Masaya ; Yasuda, Koji

Computer Science - Machi... Computer Science - Compu...
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60

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