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Optimization

1638 directly classified papers

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Papers

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search CVPR 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021
MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021
OTA: Optimal Transport Assignment for Object Detection CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021
Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021
End-to-End High Dynamic Range Camera Pipeline Optimization CVPR 2021
AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021
Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021
Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021
DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021
A Quasiconvex Formulation for Radial Cameras CVPR 2021
You Only Look One-Level Feature CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations CVPR 2021
DeRF: Decomposed Radiance Fields CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Training Generative Adversarial Networks in One Stage CVPR 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors CVPR 2021
Isometric Multi-Shape Matching CVPR 2021