Theory
1,239 papers
Papers per year
1
4
1
3
4
6
2
11
32
50
72
104
144
246
178
229
110
42
'10
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Papers
On Non-Linear operators for Geometric Deep Learning
NeurIPS 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
NeurIPS 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation
ICLR 2022
On the difficulty of learning chaotic dynamics with RNNs
NeurIPS 2022
On the Double Descent of Random Features Models Trained with SGD
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
NeurIPS 2022
On the equivalence of Oja’s algorithm and GROUSE
AISTATS 2022
On the expressivity of bi-Lipschitz normalizing
flows
ACML 2022
On the generalization of learning algorithms that do not converge
NeurIPS 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
AISTATS 2022
On the non-universality of deep learning: quantifying the cost of symmetry
NeurIPS 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
On the Parameterization and Initialization of Diagonal State Space Models
NeurIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NeurIPS 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
NeurIPS 2022
On the Symmetries of Deep Learning Models and their Internal Representations
NeurIPS 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
Optimization-Based Separations for Neural Networks
COLT 2022
Outlier Dimensions that Disrupt Transformers are Driven by Frequency
EMNLP 2022
Outlier-Robust Sparse Estimation via Non-Convex Optimization
NeurIPS 2022
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis
JMLR 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
NeurIPS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NeurIPS 2022
Phase Collapse in Neural Networks
ICLR 2022