Optimization
17,731 papers
Papers per year
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10
17
7
18
64
72
82
92
117
146
178
377
337
350
415
546
768
1,185
1,385
1,651
1,697
2,026
2,683
2,825
673
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Papers
Curvature and complexity: Better lower bounds for geodesically convex optimization
COLT 2023
Curvature-Aware Training for Coordinate Networks
ICCV 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
NeurIPS 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
ICML 2023
DAG Learning on the Permutahedron
ICLR 2023
Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement
ICCV 2023
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering
CVPR 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
CVPR 2023
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
ICLR 2023
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
Data Consistent Deep Rigid MRI Motion Correction
MIDL 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
ICCV 2023
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
NeurIPS 2023
Data Market Design through Deep Learning
NeurIPS 2023
Dataset Condensation With Distribution Matching
WACV 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
ICLR 2023
Dataset Quantization
ICCV 2023
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
NeurIPS 2023
D-CIPHER: Discovery of Closed-form Partial Differential Equations
NeurIPS 2023
Dealing With Cross-Task Class Discrimination in Online Continual Learning
CVPR 2023
Dealing with Unknown Variances in Best-Arm Identification
ALT 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
NeurIPS 2023
Debiasing Conditional Stochastic Optimization
NeurIPS 2023