Co-occurring keywords · papers mentioning both
Papers
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
JMLR 2026
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
AAAI 2025
Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex
ICLR 2025
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
AAAI 2025
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
ICLR 2025
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
AISTATS 2025
Robust Automatic Modulation Classification with Fuzzy Regularization
ICML 2025
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
ICML 2024
Benign overfitting in leaky ReLU networks with moderate input dimension
NeurIPS 2024
Feature emergence via margin maximization: case studies in algebraic tasks
ICLR 2024
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning
WACV 2024
Multi-Class Support Vector Machine with Maximizing Minimum Margin
AAAI 2024
The Implicit Bias of Adam on Separable Data
NeurIPS 2024
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
COLT 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NeurIPS 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations
EMNLP 2023
Faster Margin Maximization Rates for Generic Optimization Methods
NeurIPS 2023
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
NeurIPS 2023
Margin-based Neural Network Watermarking
ICML 2023
On Accelerated Perceptrons and Beyond
ICLR 2023
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
AISTATS 2022
Gradient Methods Provably Converge to Non-Robust Networks
NeurIPS 2022
On Margin Maximization in Linear and ReLU Networks
NeurIPS 2022
Quantum perceptron revisited: Computational-statistical tradeoffs
UAI 2022
Fast margin maximization via dual acceleration
ICML 2021