A Spectral Condition for Feature Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Greg, Simon, James B., Bernstein, Jeremy |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Modular Duality in Deep Learning
por: Bernstein, Jeremy, et al.
Publicado: (2024)
por: Bernstein, Jeremy, et al.
Publicado: (2024)
Spectral Conditioning of Attention Improves Transformer Performance
por: Saratchandran, Hemanth, et al.
Publicado: (2026)
por: Saratchandran, Hemanth, et al.
Publicado: (2026)
Old Optimizer, New Norm: An Anthology
por: Bernstein, Jeremy, et al.
Publicado: (2024)
por: Bernstein, Jeremy, et al.
Publicado: (2024)
The Optimization Landscape of SGD Across the Feature Learning Strength
por: Atanasov, Alexander, et al.
Publicado: (2024)
por: Atanasov, Alexander, et al.
Publicado: (2024)
SketchOGD: Memory-Efficient Continual Learning
por: Min, Youngjae, et al.
Publicado: (2023)
por: Min, Youngjae, et al.
Publicado: (2023)
Extending $μ$P: Spectral Conditions for Feature Learning Across Optimizers
por: Gupta, Akshita, et al.
Publicado: (2026)
por: Gupta, Akshita, et al.
Publicado: (2026)
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
por: Meunier, Dimitri, et al.
Publicado: (2025)
por: Meunier, Dimitri, et al.
Publicado: (2025)
Demystifying Spectral Feature Learning for Instrumental Variable Regression
por: Meunier, Dimitri, et al.
Publicado: (2025)
por: Meunier, Dimitri, et al.
Publicado: (2025)
A Spectral View of Adversarially Robust Features
por: Garg, Shivam, et al.
Publicado: (2018)
por: Garg, Shivam, et al.
Publicado: (2018)
Spectrally Informed Learning of Fluid Flows
por: Shaffer, Benjamin D., et al.
Publicado: (2024)
por: Shaffer, Benjamin D., et al.
Publicado: (2024)
Scalable Optimization in the Modular Norm
por: Large, Tim, et al.
Publicado: (2024)
por: Large, Tim, et al.
Publicado: (2024)
Spectral Regularization for Diffusion Models
por: Chandran, Satish, et al.
Publicado: (2026)
por: Chandran, Satish, et al.
Publicado: (2026)
Spectral Convolutional Conditional Neural Processes
por: Mohseni, Peiman, et al.
Publicado: (2024)
por: Mohseni, Peiman, et al.
Publicado: (2024)
Spectral Self-supervised Feature Selection
por: Segal, Daniel, et al.
Publicado: (2024)
por: Segal, Daniel, et al.
Publicado: (2024)
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
por: Kunin, Daniel, et al.
Publicado: (2025)
por: Kunin, Daniel, et al.
Publicado: (2025)
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$P Parametrization
por: Chen, Zixiang, et al.
Publicado: (2025)
por: Chen, Zixiang, et al.
Publicado: (2025)
On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders
por: Simon, Elana, et al.
Publicado: (2026)
por: Simon, Elana, et al.
Publicado: (2026)
Statistical Significance of Feature Importance Rankings
por: Goldwasser, Jeremy, et al.
Publicado: (2024)
por: Goldwasser, Jeremy, et al.
Publicado: (2024)
The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations
por: Boix-Adsera, Enric, et al.
Publicado: (2025)
por: Boix-Adsera, Enric, et al.
Publicado: (2025)
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
por: Karkada, Dhruva, et al.
Publicado: (2025)
por: Karkada, Dhruva, et al.
Publicado: (2025)
SpectraKAN: Conditioning Spectral Operators
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
When Does Learning Renormalize? Sufficient Conditions for Power Law Spectral Dynamics
por: Zhang, Yizhou
Publicado: (2025)
por: Zhang, Yizhou
Publicado: (2025)
Spectral Condition for $μ$P under Width-Depth Scaling
por: Zheng, Chenyu, et al.
Publicado: (2026)
por: Zheng, Chenyu, et al.
Publicado: (2026)
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
por: Frohlich, Alek, et al.
Publicado: (2025)
por: Frohlich, Alek, et al.
Publicado: (2025)
Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features
por: Qin, Jeremy
Publicado: (2025)
por: Qin, Jeremy
Publicado: (2025)
Graph Classification Gaussian Processes via Hodgelet Spectral Features
por: Alain, Mathieu, et al.
Publicado: (2024)
por: Alain, Mathieu, et al.
Publicado: (2024)
Training Transformers with Enforced Lipschitz Constants
por: Newhouse, Laker, et al.
Publicado: (2025)
por: Newhouse, Laker, et al.
Publicado: (2025)
Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning
por: Dandi, Yatin, et al.
Publicado: (2026)
por: Dandi, Yatin, et al.
Publicado: (2026)
A Matched Spectral Benchmark of Quantum Inspired Feature Maps
por: Ogunade, Toheeb, et al.
Publicado: (2026)
por: Ogunade, Toheeb, et al.
Publicado: (2026)
Spectral Superposition: A Theory of Feature Geometry
por: Ivanov, Georgi, et al.
Publicado: (2026)
por: Ivanov, Georgi, et al.
Publicado: (2026)
Descriptor-Injected Cross-Modal Learning: A Systematic Exploration of Audio-MIDI Alignment via Spectral and Melodic Features
por: Méndez, Mariano Fernández
Publicado: (2026)
por: Méndez, Mariano Fernández
Publicado: (2026)
Review Non-convex Optimization Method for Machine Learning
por: Fotopoulos, Greg B, et al.
Publicado: (2024)
por: Fotopoulos, Greg B, et al.
Publicado: (2024)
SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
por: Tripathi, Aditya, et al.
Publicado: (2025)
por: Tripathi, Aditya, et al.
Publicado: (2025)
Learning Expressive Random Feature Models via Parametrized Activations
por: Ma, Zailin, et al.
Publicado: (2024)
por: Ma, Zailin, et al.
Publicado: (2024)
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
por: Simon, James B., et al.
Publicado: (2023)
por: Simon, James B., et al.
Publicado: (2023)
Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
por: Khan, Sarmad Ahmad, et al.
Publicado: (2025)
por: Khan, Sarmad Ahmad, et al.
Publicado: (2025)
Learning Continually by Spectral Regularization
por: Lewandowski, Alex, et al.
Publicado: (2024)
por: Lewandowski, Alex, et al.
Publicado: (2024)
Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
por: Saha, Sajal, et al.
Publicado: (2024)
por: Saha, Sajal, et al.
Publicado: (2024)
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
por: Zhang, Tengxue, et al.
Publicado: (2024)
por: Zhang, Tengxue, et al.
Publicado: (2024)
Spectral-factorized Positive-definite Curvature Learning for NN Training
por: Lin, Wu, et al.
Publicado: (2025)
por: Lin, Wu, et al.
Publicado: (2025)
Ejemplares similares
-
Modular Duality in Deep Learning
por: Bernstein, Jeremy, et al.
Publicado: (2024) -
Spectral Conditioning of Attention Improves Transformer Performance
por: Saratchandran, Hemanth, et al.
Publicado: (2026) -
Old Optimizer, New Norm: An Anthology
por: Bernstein, Jeremy, et al.
Publicado: (2024) -
The Optimization Landscape of SGD Across the Feature Learning Strength
por: Atanasov, Alexander, et al.
Publicado: (2024) -
SketchOGD: Memory-Efficient Continual Learning
por: Min, Youngjae, et al.
Publicado: (2023)