Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
'15
'20
'25
Papers (including subtopics)
On the Quality of the Initial Basin in Overspecified Neural Networks
ICML 2016
On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models
Interspeech 2016
Optimal Architectures in a Solvable Model of Deep Networks
NeurIPS 2016
Optimal Black-Box Reductions Between Optimization Objectives
NeurIPS 2016
Orthogonal Random Features
NeurIPS 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation
CVPR 2016
Parametric Object Motion From Blur
CVPR 2016
Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent
CVPR 2016
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
CVPR 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
NeurIPS 2016
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
CVPR 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
NeurIPS 2016
Quantized Convolutional Neural Networks for Mobile Devices
CVPR 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
NeurIPS 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
JMLR 2016
Random Features for Sparse Signal Classification
CVPR 2016
Refining Architectures of Deep Convolutional Neural Networks
CVPR 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
NeurIPS 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
NeurIPS 2016
Rethinking the Inception Architecture for Computer Vision
CVPR 2016
Scalable Adaptive Stochastic Optimization Using Random Projections
NeurIPS 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
NeurIPS 2016
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
NeurIPS 2016
Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
CVPR 2016