Co-occurring keywords · papers mentioning both
Papers
Unconditional stability of a recurrent neural circuit implementing divisive normalization
NeurIPS 2024
Causes of Stability in Dynamic Coalition Formation
AAAI 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
NeurIPS 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning
ICML 2023
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees
L4DC 2022
Are Neural Topic Models Broken?
EMNLP 2022
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
L4DC 2022
coVariance Neural Networks
NeurIPS 2022
On the Sensitivity and Stability of Model Interpretations in NLP
ACL 2022
Optimality and Stability in Non-Convex Smooth Games
JMLR 2022
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
NeurIPS 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
L4DC 2022
Stability-Driven Contact Reconstruction From Monocular Color Images
CVPR 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
ACL 2021
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization
L4DC 2021
Chance-constrained quasi-convex optimization with application to data-driven switched systems control
L4DC 2021
Generalization Guarantee of SGD for Pairwise Learning
NeurIPS 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
NeurIPS 2021
Neural Lyapunov Redesign
L4DC 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
NeurIPS 2021
Spatio-Temporal Graph Scattering Transform
ICLR 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
AISTATS 2021