Efficient Neural Network Training via Subset Pretraining
Fuente:
arXiv
Saved in:
| Main Authors: | Spörer, Jan, Bermeitinger, Bernhard, Hrycej, Tomas, Limacher, Niklas, Handschuh, Siegfried |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Make Deep Networks Shallow Again
by: Bermeitinger, Bernhard, et al.
Published: (2023)
by: Bermeitinger, Bernhard, et al.
Published: (2023)
A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
by: Hrycej, Tomas, et al.
Published: (2025)
by: Hrycej, Tomas, et al.
Published: (2025)
Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder
by: Wiegand, Götz-Henrik, et al.
Published: (2026)
by: Wiegand, Götz-Henrik, et al.
Published: (2026)
Reducing the Transformer Architecture to a Minimum
by: Bermeitinger, Bernhard, et al.
Published: (2024)
by: Bermeitinger, Bernhard, et al.
Published: (2024)
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
by: Feng, Yunzhen, et al.
Published: (2024)
by: Feng, Yunzhen, et al.
Published: (2024)
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
by: Patalano, Mariafrancesca, et al.
Published: (2025)
by: Patalano, Mariafrancesca, et al.
Published: (2025)
ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
by: Thambawita, Vajira, et al.
Published: (2026)
by: Thambawita, Vajira, et al.
Published: (2026)
Evaluating AI systems under uncertain ground truth: a case study in dermatology
by: Stutz, David, et al.
Published: (2023)
by: Stutz, David, et al.
Published: (2023)
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation
by: Tang, Luyao, et al.
Published: (2024)
by: Tang, Luyao, et al.
Published: (2024)
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
by: Traub, Jeremias, et al.
Published: (2024)
by: Traub, Jeremias, et al.
Published: (2024)
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
by: Chen, Guangyi, et al.
Published: (2024)
by: Chen, Guangyi, et al.
Published: (2024)
Conformal Prediction for Long-Tailed Classification
by: Ding, Tiffany, et al.
Published: (2025)
by: Ding, Tiffany, et al.
Published: (2025)
Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026)
by: Lu, Kerri, et al.
Published: (2026)
Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
by: Kim, Taehyo, et al.
Published: (2025)
by: Kim, Taehyo, et al.
Published: (2025)
Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
A Fourier Space Perspective on Diffusion Models
by: Falck, Fabian, et al.
Published: (2025)
by: Falck, Fabian, et al.
Published: (2025)
Statistical analysis of multivariate planar curves and applications to X-ray classification
by: Moindjié, Issam-Ali, et al.
Published: (2025)
by: Moindjié, Issam-Ali, et al.
Published: (2025)
Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
by: Avants, Brian B., et al.
Published: (2025)
by: Avants, Brian B., et al.
Published: (2025)
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
by: Fogliato, Riccardo, et al.
Published: (2023)
by: Fogliato, Riccardo, et al.
Published: (2023)
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)
by: Khoo, Yuehaw, et al.
Published: (2023)
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection
by: Chen, Ruoyu, et al.
Published: (2025)
by: Chen, Ruoyu, et al.
Published: (2025)
Automatic Scoring of Cognition Drawings: Assessing the Quality of Machine-Based Scores Against a Gold Standard
by: Bethmann, Arne, et al.
Published: (2023)
by: Bethmann, Arne, et al.
Published: (2023)
AmorLIP: Efficient Language-Image Pretraining via Amortization
by: Sun, Haotian, et al.
Published: (2025)
by: Sun, Haotian, et al.
Published: (2025)
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making
by: Chen, Ruoyu, et al.
Published: (2026)
by: Chen, Ruoyu, et al.
Published: (2026)
Less is More: Fewer Interpretable Region via Submodular Subset Selection
by: Chen, Ruoyu, et al.
Published: (2024)
by: Chen, Ruoyu, et al.
Published: (2024)
Enhancing Multi-Image Question Answering via Submodular Subset Selection
by: Sharma, Aaryan, et al.
Published: (2025)
by: Sharma, Aaryan, et al.
Published: (2025)
Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE)
by: Pavlovic, Maja
Published: (2025)
by: Pavlovic, Maja
Published: (2025)
Regularizing Attention Scores with Bootstrapping
by: Chung, Neo Christopher, et al.
Published: (2026)
by: Chung, Neo Christopher, et al.
Published: (2026)
On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective
by: Song, Junhwa, et al.
Published: (2023)
by: Song, Junhwa, et al.
Published: (2023)
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
by: Schmalwasser, Laines, et al.
Published: (2025)
by: Schmalwasser, Laines, et al.
Published: (2025)
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
by: Novello, Tiago, et al.
Published: (2024)
by: Novello, Tiago, et al.
Published: (2024)
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
by: Ghosh, Partha, et al.
Published: (2024)
by: Ghosh, Partha, et al.
Published: (2024)
Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection
by: Zhang, Desong, et al.
Published: (2025)
by: Zhang, Desong, et al.
Published: (2025)
CycleBNN: Cyclic Precision Training in Binary Neural Networks
by: Fontana, Federico, et al.
Published: (2024)
by: Fontana, Federico, et al.
Published: (2024)
Information Geometry of Evolution of Neural Network Parameters While Training
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
Iterative Misclassification Error Training (IMET): An Optimized Neural Network Training Technique for Image Classification
by: Singh, Ruhaan, et al.
Published: (2025)
by: Singh, Ruhaan, et al.
Published: (2025)
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
by: Wei, Xiyuan, et al.
Published: (2025)
by: Wei, Xiyuan, et al.
Published: (2025)
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
by: Zou, Jinping, et al.
Published: (2024)
by: Zou, Jinping, et al.
Published: (2024)
Similar Items
-
Make Deep Networks Shallow Again
by: Bermeitinger, Bernhard, et al.
Published: (2023) -
A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
by: Hrycej, Tomas, et al.
Published: (2025) -
Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder
by: Wiegand, Götz-Henrik, et al.
Published: (2026) -
Reducing the Transformer Architecture to a Minimum
by: Bermeitinger, Bernhard, et al.
Published: (2024) -
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
by: Feng, Yunzhen, et al.
Published: (2024)