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Neural Network Optimization

3,648 papers

Papers per year

Papers

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021
Tangent Space Backpropagation for 3D Transformation Groups CVPR 2021
Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer CVPR 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021
Rethinking Channel Dimensions for Efficient Model Design CVPR 2021
Orthogonal Over-Parameterized Training CVPR 2021
Rectification-Based Knowledge Retention for Continual Learning CVPR 2021
PGT: A Progressive Method for Training Models on Long Videos CVPR 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
Neural Architecture Search With Random Labels CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning CVPR 2021
Time Adaptive Recurrent Neural Network CVPR 2021
Activate or Not: Learning Customized Activation CVPR 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation CVPR 2021
Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021
Knowledge Evolution in Neural Networks CVPR 2021
Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator CVPR 2021
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search CVPR 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021