Co-occurring keywords · papers mentioning both
Papers
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
AISTATS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
NeurIPS 2024
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
NeurIPS 2024
Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
ICML 2024
Universality in Transfer Learning for Linear Models
NeurIPS 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
ICML 2024
Adaptive Data-Free Quantization
CVPR 2023
A General Representation Learning Framework with Generalization Performance Guarantees
ICML 2023
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
ALT 2023
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
NeurIPS 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
A Spectral Theory of Neural Prediction and Alignment
NeurIPS 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
ICLR 2023
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
NeurIPS 2023
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
ICML 2023
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
ICML 2023
Exploring Active 3D Object Detection from a Generalization Perspective
ICLR 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection
ACML 2023
Generalization error bounds for multiclass sparse linear classifiers
JMLR 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
COLT 2023
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting
AAAI 2023
Graph Convolutional Kernel Machine versus Graph Convolutional Networks
NeurIPS 2023
How Does Information Bottleneck Help Deep Learning?
ICML 2023