Skip to content
conftrace_

Optimization

17,731 papers

18
117
350
1,385
2,825
'5
'10
'15
'20
'25

Papers

Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality ICML 2021 Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos EMNLP 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks NeurIPS 2021 Adaptive Rank Estimate in Robust Principal Component Analysis CVPR 2021 Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021 Adaptive Sampling for Fast Constrained Maximization of Submodular Functions AISTATS 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement ICCV 2021 A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021 A Decomposition Model for Stereo Matching CVPR 2021 A Deep and Recurrent Architecture for Primate Vocalization Classification Interspeech 2021 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 A Design Space Study for LISTA and Beyond ICLR 2021 A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021 A Dual Iterative Refinement Method for Non-Rigid Shape Matching CVPR 2021 AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021 Adversarial Attack Generation Empowered by Min-Max Optimization NeurIPS 2021 Adversarial Imaging Pipelines CVPR 2021 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Adversarial Robustness Under Long-Tailed Distribution CVPR 2021