Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces
cs.LG, cs.CV, stat.ML
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- Effective dimension of machine learning models
- Invariant Risk Minimization
- Implicit Regularization in Deep Matrix Factorization
- Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
- Probing Classifiers: Promises, Shortcomings, and Advances
- MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- Deep Residual Learning for Image Recognition
- Disentangling Geometry, Performance, and Training in Language Models
- SGDR: Stochastic Gradient Descent with Warm Restarts
- In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
- Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
- Approaching Deep Learning through the Spectral Dynamics of Weights
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction
- Three Mechanisms of Weight Decay Regularization
- A Geometric Analysis of Neural Collapse with Unconstrained Features
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